50+ Artificial Intelligence (AI) Jobs in India

Strong AI/ML Engineer profile with experience in GEO work

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Mandatory (Experience 1): Must have 5+ years of experience in rank modelling for GEO

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Mandatory (Experience 2): Must have 5+ year of experience in GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or SGE (Search Generative Experience), including optimizing for AI-driven search interfaces, conversational queries, and generative search experiences.

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Mandatory (Experience 3): Must have hands-on exposure to prompt engineering, embeddings, vector search, or RAG-based systems

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Mandatory (Skills 1): Deep understanding of how modern search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization

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Mandatory (Skills 2): Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, including understanding of how responses are generated and ranked

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Mandatory (Skills 3): Understanding of content structuring for AI consumption (schema, context building, knowledge representation)

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Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (IITs, NITs, VIT, BITS, DTU, NSUT)

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Mandatory (Company) - Only Top product companies with high scale (Tier2 companies wont be considered)

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Mandatory (Note) - Output of Candidate's work on AI Engineering for GEO should also be mentioned in resume

AI Engineer (Preferred Years of Experience: 8 years)

We are seeking a highly skilled Full Stack AI Engineer to design, build, and scale intelligent applications across the full technology stack. This role combines strong backend and frontend engineering expertise with applied AI/ML implementation in enterprise cloud environments.

You will work closely with product managers, architects, data scientists, and DevOps teams to deliver production-grade AI-powered solutions that are secure, scalable, and aligned with business objectives.

This is a hands-on engineering role requiring experience across application development, AI model integration, cloud architecture, and DevSecOps practices.

Key Responsibilities

AI / Machine Learning

• Design and implement AI/ML solutions for real-world business use cases.
• Integrate ML models (e.g., forecasting, classification, NLP, computer vision) into production-grade applications.
• Develop APIs and services that expose AI capabilities securely and efficiently.
• Optimize model performance, latency, scalability, and monitoring in production.
• Implement model lifecycle management (training, deployment, monitoring, retraining).

Backend Development

• Design and develop scalable RESTful and/or GraphQL APIs.
• Build microservices-based architectures.
• Implement authentication, authorization, and secure API access.
• Develop data pipelines and integrate with structured and unstructured data sources.
• Ensure high availability, performance tuning, and observability.

Frontend Development

• Develop responsive, user-friendly web applications.
• Build interactive dashboards and AI-driven user experiences.
• Integrate frontend applications with backend AI services.
• Ensure accessibility, usability, and performance optimization.

Cloud & DevOps

• Deploy applications and models in cloud environments (Azure, AWS, or GCP).
• Implement CI/CD pipelines for application and model deployment.
• Apply infrastructure-as-code (Terraform, ARM, Bicep, etc.).
• Implement monitoring, logging, and alerting.
• Ensure security compliance and enterprise-grade governance.

Architecture & Collaboration

• Participate in solution architecture and design discussions.
• Translate business requirements into technical solutions.
• Collaborate with cross-functional teams (product, security, data, UX).
• Contribute to technical standards, best practices, and code reviews.

Required Qualifications

• 8 years of full stack software engineering experience.
• Hands-on AI/ML implementation in production environments.
• Strong proficiency in: Python (FastAPI, Flask, or Django), JavaScript/TypeScript (React, Angular, or Vue), REST API development
• Experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
• Experience deploying AI workloads in cloud environments (Azure ML, SageMaker, Vertex AI, etc.).
• Experience with relational and NoSQL databases.
• Strong understanding of software engineering principles and design patterns.
• Experience with Docker and container orchestration (Kubernetes preferred).
• Knowledge of secure coding practices and enterprise security standards.

Preferred Qualifications

• Experience with enterprise AI governance and responsible AI frameworks.
• Experience with MLOps and model monitoring tools.
• Knowledge of distributed systems and event-driven architectures.
• Experience with vector databases and semantic search (if applicable to organization).
• Experience in regulated industries (financial services, healthcare, public sector).
• Experience working in Agile/Scrum teams.

Key Competencies

• Strong problem-solving and analytical skills.
• Ability to translate complex AI concepts into scalable technical solutions.
• Excellent communication and stakeholder engagement skills.
• Ownership mindset with the ability to operate independently.
• Strong attention to performance, security, and maintainability.

AI/ML Engineer

CombineHealth | Bangalore (HSR Layout) | Hybrid, 4 days/week in-office

About CombineHealth

CombineHealth builds AI employees for healthcare revenue cycle management — agents that automate medical coding, billing, eligibility checks, denial management, and appeals for hospitals and physician groups across the US. Our platform runs in production at 97%+ coding accuracy across live customers, integrated with Epic, Cerner, athenahealth, and other major EHRs.

Before You Apply — Read This First

• 4 days/week in our HSR Layout, Bangalore office. Remote or fully-hybrid-light setups won't work for this team.
• Regular overlap with US business hours. Our customers, most of our leadership, and key stakeholders are US-based. You'll need flexibility for calls and collaboration that land in US morning/afternoon (India evening/night) on a recurring basis, not occasionally.

If either of these is a dealbreaker, save yourself and us the time — this isn't the role.

What You'll Actually Do

This is an agent-engineering role. Our systems are LLM-based agents, and the hard part isn't training models — it's making autonomous, multi-step systems reliable and auditable on regulated, high-stakes data. You'll work alongside senior engineers to build and improve these agents, with growing ownership as you prove yourself. Roughly:

• Help build AI agents that read unstructured clinical and claims documentation and produce structured, auditable outputs — codes, claim decisions, denial root causes, appeal drafts
• Contribute to agent architecture under senior guidance: multi-step orchestration, tool/function calling, retrieval, and context engineering
• Write and maintain eval harnesses and regression suites with hard accuracy bars. "The eval moved" is the unit of progress here — if you can't measure whether a change helped, it didn't happen
• Support production reliability and observability: tracing, logging, latency, debugging — with a senior engineer as backup, not solo pager duty from day one
• Work with senior engineers on confidence-threshold and human-in-the-loop review logic for regulated, high-stakes data
• Collaborate with product and RCM domain experts to understand real-world payer behavior and translate it into agent requirements, with support from senior team members
• Take increasing ownership of specific agent components as you build track record, with a clear path to fuller end-to-end ownership over time

What We Need

• 2–4 years shipping production software, with hands-on exposure to LLM-based systems — agents, RAG, structured extraction. Real production exposure (even as a contributor, not sole owner) matters more than side projects or coursework.
• Solid engineering fundamentals. You write production-grade Python, not just notebooks. You understand failure paths and care about correctness.
• Working familiarity with the LLM application stack: prompt engineering, tool/function calling, retrieval, and some exposure to eval-driven development. You don't need to have designed an eval harness from scratch, but you should understand why one matters.
• Some exposure to production systems: deployment, basic observability, debugging live issues, cloud (AWS/GCP/Azure). You're not expected to own infra, but you should be comfortable being in the room when things break.
• Experience with unstructured/messy real-world text is a plus — legal, financial services, insurance, healthcare, or similar domains.
• Ability to work with reasonable independence on well-scoped tasks, while knowing when to flag ambiguity to a senior engineer rather than guessing.
• Comfortable in a fast-moving startup environment: ambiguity, shifting priorities, and a willingness to learn on systems that don't have a textbook answer yet.
• Degree from a Tier-1 engineering institute (IIT/IISc or equivalent) is a plus, but we care far more about what you've built than where you studied.

Nice to Have (Not Required)

• Exposure to healthcare claims, medical coding (CPT/ICD-10/HCPCS), or RCM workflows
• Any exposure to a regulated data environment (HIPAA, SOC 2, or similar)
• Coursework or side projects involving fine-tuning, distillation, or smaller task-specific models

What Success Looks Like in 6 Months

• You've taken ownership of a well-defined component of a production agent, with senior support available
• You've meaningfully contributed to improving an accuracy, latency, or automation-rate metric on a live customer workflow
• You can debug a production issue in your area with minimal hand-holding, and know when to escalate
• You've built enough context to start taking on larger, less-scoped pieces of agent ownership

How to Apply

Please click on the link and fill in the details: https://forms.gle/dcNhnkaxUraatt8y5 

 Role - Senior Data Engineer(c2c)

Notice Period – Immediate Joiner Only

Remote Opportunity

Experience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. Comfortable with a 6-month contractual role

Looking for Senior Data Engineers to join an application development team supporting a business-critical enterprise web application and its data ecosystem. The role requires strong hands-

on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,

Power BI, GitHub, and Data Modeling. Here is what you will do:

Key Responsibilities:

• Design, develop, and support SQL Server databases used by the web application.

• Build and maintain Azure Data Factory pipelines for data movement, transformation,

scheduling, monitoring, and recovery.

• Develop and optimize T-SQL, stored procedures, views, and database objects.

• Design data models, ETL/ELT, and incremental data-processing solutions.

• Integrate application data with Dynamics 365 and other enterprise systems using REST APIs.

• Develop and support data solutions using Azure Data Lake, Microsoft Fabric, and OneLake.

• Use Azure Logic Apps for application/data integration, workflow orchestration, notifications,

and event-driven processing.

• Support Power BI and enterprise reporting requirements.

• Implement data quality, reconciliation, logging, error handling, retry, and monitoring

mechanisms.

• Troubleshoot SQL, pipeline, integration, and production data issues.

• Use GitHub and CI/CD practices for source control and deployments.

Are you interested in writing agentic systems that helps companies like Coca-Cola, ITC and Lenovo drive E-commerce success? Do you want to bring Autonomy to E-commerce? Then read on and apply.

Applied Scientist - Decision AI

Location: Bengaluru

Work Schedule: Hybrid (Candidate must be based in Bengaluru - 1-2 days of WFO may be required at a later date)

About Kily

Kily is an AI company bringing autonomy to digital commerce growth. We build autonomous agents that manage Advertising, Pricing and Listings for brands and sellers across commerce marketplaces.

Performance in modern commerce shifts constantly - across marketplaces, categories and cities - faster than teams can manually track, diagnose and act on. Kily's agents work continuously against real business objectives with each brands unique context, objectives and operating constraints and keeping humans in the loop where it matters.

The Role

We are looking for an Applied Scientist to build the models and decision systems behind Kily's recommendations and actions. The work is grounded in messy, real-world commerce data help build Kily's core decision intelligence layer: systems capable of understanding complex commerce data, determining why performance is changing, deciding what should be done about it, and ultimately taking actions autonomously at scale. You will work at the intersection of learning algorithms, decision making under uncertainty and agentic systems.

What You'll Do

·      Conduct deep analysis of commerce data to derive insights, and identify gaps and new opportunities

·      Develop scalable and effective machine-learning models and optimisation strategies to solve business problems across advertising, pricing and listings

·      Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment

·      Identify and build the sequential feedback loops that make decisions improve over time

·      Design evaluation frameworks to measure the quality and business impact at scale

·      Work closely with engineering, analytics and product teams to take models from experimentation into production

What We're Looking For

·      4+ years in Applied ML/AI, Data Science. Masters or PhD in a quantitative field is a plus

·      Deep proficiency in Python, SQL, statistics and data analysis

·      Hands-on experience developing, deploying and maintaining the end-to-end lifecycle of machine-learning models

·      Experience with LLMs, fine-tuning, AI agents, optimisation or sequential decision systems is a strong plus

·      Exposure to ecommerce, marketplaces, advertising or pricing data is valuable but not essential

·      Strong problem-solving and communication skills; ML research experience is a plus

WHY KILY

Kily is already working with leading brands including ITC, Unilever, Mondelez, Coca-Cola and Lenovo, and has recently raised an INR 30 crore ($3.1 mn) Seed round led by Sorin Investments, with participation from Razorpay and Wyser Capital. You'll have the opportunity to build a foundational AI system from an early stage - one designed not merely to generate insights, but to autonomously drive real-world business

outcomes.

Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities:

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Contribute ideas to improve application maintainability and performance under the guidance of senior engineers.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Support the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• 2-3 years of software engineering experience, including at least 1 year of hands-on AI/ML experience.
• Proficient in Node.js and TypeScript/React development, with experience in React 18+, Hooks (useState, useEffect, useContext), and WebSocket clients.
• Strong full-stack development experience with modern web technologies.
• Experience with ASP.NET Core (C#) is good to have.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (AWS preferred), including scalability and enterprise cloud. 
• Experience with security best practices in web and API development.
• Experience with Test-Driven Development (TDD).
• Strong database experience, focused on query optimization 
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Practical experience with prompt engineering and LLM response optimization
• Knowledge of AI-driven development tools and platforms such as Claude Code, GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

Mobile QA Engineer:

Location: Bangalore WFO

Notice: 0 to 15 days (Immediate joiners preferred)

As an Intermediate Mobile QA Engineer, you will play a vital role in ensuring the quality, reliability, and performance of AI-powered mobile applications across iOS and Android platforms. Your responsibilities will include:

• Conduct comprehensive manual testing of the LifeSaver mobile application across iOS and Android devices to understand system behavior, identify edge cases, and uncover potential risks.
• Work across diverse environments and device types, including native mobile applications, web platforms, backend systems, and data-driven integrations.
• Evaluate AI-powered workflows and autonomous agents, focusing on accuracy, consistency, reliability, and user trust rather than strictly deterministic results.
• Utilize exploratory testing and risk-based testing methodologies to assess probabilistic behavior, failure scenarios, and mobile-specific challenges such as connectivity changes, permissions, push notifications, location services, and background/foreground transitions.
• Design, develop, and maintain automated tests across UI, API, and service layers using modern testing tools and frameworks such as BrowserStack, Atlassian, and Playwright.
• Continuously improve mobile test automation frameworks, testing standards, and quality assurance best practices.
• Define and implement effective testing strategies for complex, multi-step workflows that combine traditional business logic with AI-driven functionality.
• Validate application behavior across multiple devices, operating system versions, screen resolutions, and manufacturers while supporting configuration-driven and AI-assisted use cases.
• Assess mobile application performance under real-world conditions, including battery usage, memory consumption, storage constraints, and fluctuating network environments.
• Collaborate closely with Engineering, Product Management, and Platform teams to improve testability, identify risks, and establish quality expectations.
• Participate in defect triage, root cause analysis, and issue resolution, particularly for device-specific, intermittent, or non-deterministic defects.
• Integrate both manual and automated mobile testing into CI/CD pipelines using simulators, emulators, and physical device farms to support high-quality releases.

Required Qualifications

To thrive in this role, you should possess the following skills and experience:

• 4+ years of experience in Software Quality Assurance (QA) with a strong emphasis on mobile testing, test automation, and exploratory testing.
• Proven expertise in manual testing of complex mobile applications and workflows on both iOS and Android platforms.
• Hands-on experience testing AI-powered applications, intelligent workflows, or systems with probabilistic behavior.
• Strong understanding of mobile testing concepts, including device fragmentation, OS compatibility, application permissions, network connectivity states, and background/foreground behavior.
• Experience applying exploratory, risk-based, and system-level testing approaches to identify quality risks effectively.
• Ability to evaluate AI-driven outcomes based on correctness, consistency, reliability, and user confidence rather than traditional pass/fail criteria.
• Practical experience testing both mobile applications and their associated APIs.
• Familiarity with cloud-based testing and device farm solutions such as BrowserStack, Sauce Labs, or Firebase Test Lab.
• Knowledge of CI/CD pipelines, automated test execution, and modern software delivery practices.
• Strong analytical thinking and problem-solving skills, with the ability to identify subtle defects and edge-case scenarios.
• Excellent communication skills with the ability to clearly articulate testing risks, uncertainties, and quality assessments to product and engineering teams.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Experience in mobile performance testing, accessibility testing, or security testing is considered an added advantage.

Technology Stack

Mobile Platforms & Development Tools

• iOS Operating System
• Android Operating System
• Xcode
• Android Studio
• Atlassian Suite

Test Automation & Quality Assurance

• Playwright
• BrowserStack
• Sauce Labs
• Firebase Test Lab
• API Testing Tools
• Performance Testing Tools
• Modern Test Automation Frameworks

DevOps & Continuous Delivery

• CI/CD Pipelines
• Automated Test Execution
• Device Farms
• Mobile Simulators & Emulators
• Physical Device Testing

Build AI where the work actually happens.

Celeco works inside real businesses to understand critical workflows, ship production AI systems and stay through adoption.

We are hiring our first Intelligence Architect (Forward-Deployed AI Engineer).

⌁

Full-time · Remote-first · Optional hybrid in Bengaluru

At least one year of professional engineering experience. Customer travel when the work requires it.

The role

An Intelligence Architect enters a customer environment with an unfinished question and leaves behind a working, measurable system.

This is a hands-on engineering role at the boundary of product, operations and customer delivery. You will learn the domain, inspect the existing systems and data, decide what should be built, and write the code that puts it into production.

What you will own

• Interview and shadow the people doing the work, then map the real workflow, including hand-offs, exceptions and workarounds.
• Understand the customer's application stack, APIs, data, identity model, security constraints and deployment environment.
• Turn business goals into a technical scope, system design, delivery plan and measures of success.
• Build across the stack: AI workflows, data pipelines, integrations, backend services and the interfaces people use.
• Choose the simplest reliable approach. The answer may combine agents, retrieval, rules and conventional software.
• Create evals from representative cases, define quality and failure metrics, inspect traces, red-team the system and set launch thresholds.
• Make practical trade-offs across accuracy, latency, cost, privacy, security and speed.
• Take prototypes into production with tests, monitoring, access controls, documentation and a plan for failure and recovery.
• Work beside customer teams during rollout and improve the system until it becomes part of the workflow.
• Turn what works into reusable components, evaluation sets and playbooks for future Celeco deployments.

You will probably thrive here if

• You have at least one year of professional software or product engineering experience.
• You have shipped a real system used by other people and can explain what you owned, what broke and what you changed.
• You are strong in Python or TypeScript and comfortable moving across unfamiliar codebases, APIs, databases and cloud services.
• You have built with language or multimodal models and understand prompting, structured outputs, retrieval, tool use and model failure modes.
• You use Cursor, Codex, Claude Code or similar tools as part of your engineering workflow, while still reviewing, testing and understanding the code you ship.
• You can create an evaluation set, choose useful quality metrics and improve a system through error analysis instead of prompt guesswork.
• You can speak with an operator, an engineering team and a senior leader without losing the thread of the problem.
• You work well with incomplete requirements, write clearly and surface risks early.
• You care about whether people use what you build and whether it changes a business outcome.
• You can commit full-time and travel to customer sites when discovery or rollout is better done in person.

Experience with cloud deployment, containers, CI/CD, observability, enterprise integrations, authentication or security is useful. We do not expect one person to arrive knowing every framework, cloud or industry.

What you will get

• Direct ownership of live customer problems from discovery through production.
• Close collaboration with Celeco's founders and customer leadership teams.
• Exposure to different industries, operating models and technical environments.
• The freedom to choose the technical approach and the responsibility to prove that it works.
• A role in defining Celeco's engineering methods, reusable systems and technical culture while the company is early.
• A remote-first setup, with the option to work together in Bengaluru.

If the work sounds like you but your background is unconventional, apply. We care more about what you have built, how you think and how quickly you learn than pedigree.

Run delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space

Role overview-

We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing

What you’ll own- Delivery ownership

• Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
• Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
• Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
• Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
• Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
• Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
• Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
• Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
• Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
• Run the release calendar across two products so neither becomes the permanent second priority.

The floor & the team.

Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.

• Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
• Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
• Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
• Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
• Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
• Manage internal stakeholder expectations and, where relevant, commitments made to customers.
• Spot when a “small clarification” is actually a scope change, and handle it as one.
• Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.

Challenges you’ll solve.

We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.

Domain knowledge that arrives as tribal knowledge

Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have

— it produces work that looks finished and is not.

Three disciplines, one release

Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same

product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.

Correctness is not negotiable

This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.

AI workstreams do not estimate like CRUD

Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-

week ticket.

Live customers, finite engineers

Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,

and be able to defend it.

Two products, one organisation

The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.

Founder-adjacent, fast-changing priorities

Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.

Qualifications.

• 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
• Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
• Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.

Strongly preferred

• Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
• Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
• Experience managing teams that included AI / ML engineers alongside conventional product engineers.
• Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.

The bar, the process, the offer.

The manager we’re looking for

Technical enough to be trusted

Engineers respect the questions you ask, not just the dates you set.

Owns outcomes, not activity

Measures the job by what shipped and worked, not by how busy the board looked.

Direct and specific

Says the uncomfortable thing early, in plain language, to the person who needs to hear it.

Reduces chaos

Leaves every process, plan, and handoff simpler than they found it.

Holds opinions loosely

Strong views on how to run delivery, updated when the evidence changes.

Raises the standard around them

The team becomes more predictable and more capable because you are in it.

About Nexora Group

Nexora Group is a technology and innovation-driven organization dedicated to building intelligent solutions that leverage Artificial Intelligence, Machine Learning, Data Analytics, and emerging technologies. We are committed to fostering talent by providing aspiring professionals with practical exposure, mentorship, and opportunities to work on real-world projects.

Internship Overview

Nexora Group is looking for enthusiastic and driven AI/ML Interns to join our team. This internship is ideal for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Interns will gain hands-on experience working on real-world AI projects, developing intelligent models, and solving complex business challenges using data-driven approaches.

Key Responsibilities

• Assist in developing, training, and evaluating Machine Learning models.
• Collect, clean, and preprocess datasets for AI/ML applications.
• Conduct exploratory data analysis and feature engineering.
• Work on Deep Learning, Natural Language Processing (NLP), and Computer Vision projects.
• Research and implement AI algorithms and emerging technologies.
• Support the development of Generative AI and Large Language Model (LLM)-based solutions.
• Optimize model performance and evaluate results using industry-standard metrics.
• Document project workflows, findings, and technical reports.
• Collaborate with cross-functional teams to develop innovative AI solutions.

Required Skills

• Basic understanding of Machine Learning and Artificial Intelligence concepts.
• Knowledge of Python programming.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Understanding of data structures, algorithms, and statistics.
• Basic knowledge of Deep Learning, NLP, or Computer Vision concepts.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Willingness to learn and adapt to new technologies.

Preferred Qualifications

• Experience with AI/ML projects, hackathons, or research work.
• Knowledge of Generative AI, Prompt Engineering, and LLMs.
• Familiarity with cloud platforms and AI deployment tools.
• Certifications in AI, Machine Learning, or Data Science are a plus.
• GitHub projects or portfolio showcasing AI/ML work.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or related fields.
• Recent graduates seeking practical industry experience.
• Candidates with a strong interest in AI innovation and research.

What You'll Gain

• Hands-on experience with real-world AI and Machine Learning projects.
• Mentorship from experienced AI professionals.
• Exposure to cutting-edge AI tools, frameworks, and technologies.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career development opportunities.

We’re Hiring | Full Stack Developer

About MotionGility

MotionGility is building India's first AI-powered SaaS platform that automates explainer video production for SaaS/AI companies. We combine a Full AI tools stack into a single pipeline that takes a client's product brief and delivers a complete explainer video — script, illustrations, voiceover, and animation — in under a few minutes. We have 11 years of agency experience producing 500+ SaaS explainer videos and we are now building the platform that does this at scale, with AI.

This is an early-stage product role. You will be the first full-time developer on the team, working directly with the founders

Position: Full Stack Developer

Location: Indore (Onsite)

Type: Full-time

Experience: 2-3 Years

Notice Period: Immediate Joiner or Up to 30 Days Notice Period Accepted

Key Responsibilities

• Build and maintain the client-facing SaaS platform using React, Next.js, TypeScript, and Supabase.
• Develop project dashboards, approval workflows, and video delivery interfaces.
• Implement authentication, authorization, and role-based access control.
• Integrate payment gateways and third-party AI APIs.
• Build real-time project tracking and notification systems.
• Ensure application performance, scalability, and responsive design.
• Collaborate directly with founders on product development and technical decisions.

Tech Stack

Frontend: React, Next.js, TypeScript, Tailwind CSS

Backend: Supabase (PostgreSQL, Auth, Storage, Realtime, Edge Functions)

Payments: Razorpay

Automation: n8n Cloud

Deployment: Vercel / Netlify

AI Integrations: OpenAI, ElevenLabs, Recraft V3, Runway Gen-3, GPT Images, Nano Banana, Higgsfield, and related AI APIs

Requirements

Must-Have Skills

• Minimum 2 years of experience building and shipping React applications.
• Working knowledge of TypeScript and modern frontend development.
• Experience with SQL, PostgreSQL, or Supabase databases.
• Experience integrating at least one payment gateway in a production project.
• Ability to showcase at least one live deployed product built personally.

Preferred Skills

• Experience with Next.js (App Router and API Routes).
• Hands-on experience with Supabase Auth, RLS policies, and Realtime features.
• Prior experience in a startup or early-stage SaaS environment.
• Strong product thinking and problem-solving mindset.

This Role Is Not Suitable If

• You require detailed specifications before starting development.
• You cannot demonstrate a live product you have built.
• You depend heavily on senior developers for technical decisions.
• You prefer backend or infrastructure-focused roles over product development.

What You'll Gain

• Direct mentorship from experienced founders.
• Ownership of the complete client-facing product.
• Exposure to cutting-edge AI technologies and workflows.
• Flexible working culture focused on outcomes.
• Opportunity for ESOPs based on performance and contribution.
• Fast career growth with potential progression into leadership roles.

Job Title

Python Full Stack Developer – AI

Experience: 6-9 Years

Location: Bangalore (Hybrid)

Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Python Full Stack Developer with AI expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong experience in Python, Full Stack Development, REST APIs, modern frontend frameworks, and Generative AI technologies, including LLMs, prompt engineering, and AI integrations.

The role involves building end-to-end web applications, integrating AI models, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.

Key Responsibilities

· Design, develop, and maintain scalable full-stack applications using Python.

· Build responsive and interactive user interfaces using React.js, Angular, or Vue.js.

· Develop backend services and RESTful APIs using Django, Flask, or FastAPI.

· Integrate Generative AI models such as OpenAI GPT, Claude, Gemini, or Llama into business applications.

· Develop AI-powered chatbots, assistants, document processing, and workflow automation solutions.

· Implement prompt engineering techniques to optimize AI model performance.

· Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

· Work with LangChain, LangGraph, or LlamaIndex for LLM orchestration.

· Integrate AI APIs and third-party services into enterprise applications.

· Design and optimize SQL and NoSQL databases.

· Deploy applications on AWS, Azure, or GCP.

· Develop CI/CD pipelines and manage deployments using Docker and Kubernetes.

· Write clean, reusable, and well-documented code following best practices.

· Participate in Agile ceremonies, code reviews, and sprint planning.

Required Technical Skills

Backend

· Python

· Django

· Flask

· FastAPI

Frontend

· React.js / Angular / Vue.js

· HTML5

· CSS3

· JavaScript (ES6+)

· TypeScript

AI / Generative AI

· OpenAI API

· Azure OpenAI

· Gemini API

· Claude API

· Llama Models

· LangChain

Databases

· PostgreSQL

· MySQL

· MongoDB

· Redis

Cloud & DevOps

· AWS / Azure / Google Cloud Platform

· Docker

· Kubernetes

· Git

· GitHub

· Jenkins

· CI/CD

API Development

· REST APIs

· GraphQL (Preferred)

· API Integration

Preferred Skills

· Machine Learning fundamentals

· NLP (Natural Language Processing)

· Hugging Face Transformers

· TensorFlow or PyTorch

· Kafka or RabbitMQ

· Elasticsearch

· Microservices Architecture

· Authentication (OAuth2, JWT)

Qualifications

· Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

· 6–9 years of experience in Python Full Stack Development.

· Hands-on experience with Generative AI and LLM-based application development.

· Experience working in Agile/Scrum environments. 

About the Company

The client is an agentic AI workflow transformation startup. They help businesses transform traditional processes into SMART processes — Scalable, Minimal Cost, AI-led, Reliable, and Turbo Charged. By combining Artificial Intelligence with human-in-the-loop expertise, we make business processes highly accurate, faster, and 30–90% more cost-efficient.

Their solutions currently span three key areas:

• Intelligent Document Processing: Accounting ledger matching, invoice processing, ID/KYC document processing, bank statements, and more.
• Product & Content Operations: Content moderation, product cataloguing, image editing, and related workflows.
• Interaction Management - Voice Bots, Auto Quality Assurance [voice & text], CRM, ticketing etc 

About the Role

We are looking for an Associate Director – Growth, Sales & Delivery who can operate at the intersection of B2B growth, client engagement, solution delivery, and technology.

This role is ideal for someone who can identify and develop business opportunities, engage with clients to understand their requirements, work closely with engineering teams to shape solutions, and drive those solutions from ideation to delivery.

The role sits within the Intelligent Document Processing business, one of the key revenue-generating verticals, with a strong focus on use cases such as invoice processing, KYC, and other document-intensive business processes.

Key Responsibilities

1. B2B Growth & Business Development

• Identify and develop new B2B business opportunities and client relationships.
• Engage with prospective clients to understand their business challenges and identify opportunities for AI-led solutions.
• Contribute to GTM initiatives, commercialisation strategies, and early-stage solution discovery.
• Build and leverage relevant industry relationships and networks to generate opportunities.
• Take ownership of opportunities from initial conversations through solution definition.

2. Solution Delivery & Ownership

• Work closely with engineering and delivery teams to translate client requirements into practical solutions.
• Own the solutioning and delivery journey from ideation to implementation.
• Coordinate with internal teams to ensure solutions are delivered effectively and aligned with client expectations.
• Understand business requirements and translate them into clear solution approaches.
• Drive execution with a strong sense of ownership and delivery orientation.

3. Technology & Solutioning

• Bring a good understanding of technology and modern AI/automation tools.
• Work with technical teams to define solution blueprints and approaches.
• Ability to understand and leverage technology platforms and tools to develop or prototype solutions.
• Coding expertise is not mandatory, but familiarity with technology, cloud platforms, AI tools, and solution development will be an advantage.

What We're Looking For

• 3+ years of experience, with flexibility for exceptional candidates with ~1 year of experience who demonstrate strong relevant capabilities.
• Strong exposure to B2B growth, business development, sales, client engagement, or solution consulting.
• Experience working with clients and taking ownership of opportunities from discovery to execution.
• Strong delivery and ownership mindset, with the ability to work effectively with engineering/technical teams.
• Understanding of technology and ability to participate in solution design discussions.
• Experience in oice processing, or related domains will be highly relevant.
• Strong communication, problem-solving, and stakeholder management skills.
• Candidates from IITs, IIITs, NITs, BITS, and other premier engineering institutions would be preferred, particularly where combined with relevant industry experience.

Good to Have

• Experience with AI/automation-led solutioning or technology consulting.
• Familiarity with cloud platforms and modern AI/technology tools.
• Prior experience in a technical role, product/solution role, or engineering environment.
• Experience working with organisations in the intelligent document processing / AI automation ecosystem.

Why choose us?

You will play a key role in building and scaling AI-led business solutions, working across clients, business development, solutioning, and engineering.

Our proprietary StepZero platform enables us to move rapidly from ideation to a working solution, typically within a few weeks, while our outcome-based approach focuses on delivering measurable business value rather than traditional headcount-based services.

This is an opportunity for someone who wants to combine business growth, client-facing ownership, solution delivery, and technology in a single role.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

4

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

7

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

10

Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

11

Preferred (Experience 1) - Experience with LLMOps/MLOps tools for monitoring, evaluation, experimentation, and versioning of AI models.

12

Preferred (Experience 2) - Exposure to Azure OpenAI, Azure Kubernetes Service (AKS), Kubernetes, cloud-native AI deployments, or distributed systems.

13

Preferred (Experience 3) - Experience working with PostgreSQL, MongoDB, Redis, Kafka, or large-scale data platforms.

14

Preferred (Experience 4) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.

15

Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

16

Mandatory ( Age ) - Candidate Should be Below 28 Years.

17

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

4

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

7

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

10

Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

11

Preferred (Experience 1) - Experience with LLMOps/MLOps tools for monitoring, evaluation, experimentation, and versioning of AI models.

12

Preferred (Experience 2) - Exposure to Azure OpenAI, Azure Kubernetes Service (AKS), Kubernetes, cloud-native AI deployments, or distributed systems.

13

Preferred (Experience 3) - Experience working with PostgreSQL, MongoDB, Redis, Kafka, or large-scale data platforms.

14

Preferred (Experience 4) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.

15

Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

16

Mandatory ( Age ) - Candidate Should be Below 28 Years.

17

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 28 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Forward Deployed Engineer (FDE) – KnackLabs.ai

As a Forward Deployed Engineer at knacklabs.ai, you will sit at the intersection of engineering and customer success. You'll embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops, and direct exposure to how their code changes a customer's business.

What you will own

1. Customer embedding
2. Work directly with customers to understand their business processes, pain points, technical environments, and existing ERP/application landscape.
3. Solution building
4. Design, build, and deploy custom integrations, workflows, and applications on top of the knacklabs.ai platform.
5. Product feedback loop
6. Turn one-off customer builds into reusable, generalizable features by working closely with the core product and engineering teams.
7. Rapid prototyping
8. Write production-quality code under real deadlines, balancing speed with maintainability.
9. Technical troubleshooting
10. Debug issues across the stack, from data pipelines to APIs to front-end integrations, in live customer environments.
11. Ongoing ownership
12. Own the technical relationship with select customers post-deployment, ensuring solutions remain stable and scale with their needs.
13. Travel
14. Travel to customer sites as needed, expected occasionally and varying by account.

What we need from you

1. Three or more years of professional software engineering experience, ideally including customer-facing or implementation work.
2. Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.
3. Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).
4. Proven experience building and deploying AI-driven solutions within enterprise application ecosystems, including ERP integrations, workflow automation pipelines, and end-to-end product development, with a track record of hands-on stakeholder engagement across technical and business teams.
5. Hands-on experience with ERP systems such as ERPNext/Frappe, SAP, Oracle ERP, Microsoft Dynamics/Navision/Business Central, Odoo, or similar enterprise ERP platforms, including experience with ERP implementation, customization, workflow/module modifications, integrations, or building applications on top of ERP systems, is strongly preferred.
6. Demonstrated ability to work independently in ambiguous, fast-changing environments.
7. Strong communication skills. You can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
8. A bias toward action. You are comfortable shipping a working solution today rather than a perfect one next month.

POSITION OVERVIEW

We are seeking an experienced Senior Data Scientist & Generative AI Specialist on a contractual basis to support a premier Germany-based chemical manufacturing enterprise. In this role, you will lead the end-to-end design, development, and deployment of production-grade GenAI applications, multi-modal LLM workflows, and advanced retrieval platforms tailored to complex industrial and enterprise data ecosystems.

Working closely with cross-functional global teams, you will build robust backend microservices, implement state- of-the-art RAG/GraphRAG architectures, and leverage cloud-native AI infrastructure (Azure, Vector DBs, Knowledge Graphs) to drive operational efficiency and data-driven innovation.

KEY RESPONSIBILITIES

• GenAI & LLM System Engineering: Design, build, and deploy production-grade multi-modal GenAI applications processing text, structured technical documentation, images, and telemetry data.
• Advanced RAG & Graph Architecture: Implement cutting-edge Retrieval-Augmented Generation (RAG) and GraphRAG pipelines using document parsing frameworks, custom embeddings, vector databases, and knowledge graphs to capture complex domain relationships.
• Scalable Backend Development: Architect high-throughput, low-latency microservice APIs using Python, FastAPI, and Flask, leveraging asynchronous programming (asyncio) and strict type validation (Pydantic) for long-running LLM processes.
• Agentic Systems & Azure Ecosystem: Build autonomous agent systems using modern frameworks (MCP, A2A) and orchestrate enterprise workflows across the Microsoft Azure AI ecosystem (Azure AI Foundry, AI Search, Document Intelligence, Databricks).
• Model Optimization & Evaluation: Execute systematic LLM fine-tuning, prompt optimization, and rigorous evaluation frameworks to assess AI output accuracy, reliability, and business impact against industrial requirements.
• Data Layer Management: Architect and maintain enterprise database layers combining SQL (PostgreSQL) for structured transactional data with specialized vector search engines and graph stores.
• Rapid Prototyping: Utilize AI-assisted development tools (Copilot, Claude Code) to accelerate delivery timelines and rapidly build functional UI prototypes for client feedback.

TECHNICAL QUALIFICATIONS

Core Development & Backend:

• Python Mastery: Deep expertise in writing clean, production-ready Python using asynchronous programming (asyncio), strict type-hinting (Pydantic), and automated testing patterns.

• Backend Microservices: Hands-on experience building microservices with FastAPI and Flask structured to handle asynchronous, long-running AI background tasks.

• Database Engineering: Strong command of PostgreSQL, relational schema design, vector indexing, and knowledge graph paradigms.

Machine Learning & AI Infrastructure:

• Model Expertise: Hands-on experience with leading multi-modal LLM architectures (OpenAI, Anthropic, Google) and domain-specific AI workflows.

• Retrieval & Parsing: Proven track record with document extraction frameworks, embedding models, vector search engines, and GraphRAG architectures.

• Cloud Infrastructure: Strong proficiency with Azure AI infrastructure (Foundry, Databricks, AI Search, Document Intelligence).

• Agentic Frameworks: Practical experience with open-source agent protocols (MCP, A2A), parameter-efficient fine-tuning (PEFT/LoRA), and model evaluation methodology.

CONTRACT & REMOTE REQUIREMENTS

• Contract Engagement: Contractual structure tailored to project milestones and deliverables.

• 100% Remote Setup: Fully equipped home office with high-speed, secure internet infrastructure.

• Timezone Overlap: Guaranteed 4-hour daily overlap with Central European Time (CET/CEST - Germany) to ensure smooth collaboration with enterprise stakeholders.

• Communication: Fluent professional English communication skills (written and spoken) for asynchronous and real-time technical coordination. 

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research

automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from

unstructured financial documents, and model evaluation pipelines.

• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI

systems.

• Own model performance, reliability, and cost — from experimentation through production deployment.

• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.

• Ensure systems meet the compliance, auditability, and security standards required in regulated financial

environments.

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face,

LangChain, or equivalent).

• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly

valued.

• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring,

versioning).

• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background

• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.

• Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

We are looking for a Senior Mobile Developer with deep React Native expertise to lead feature development on our investor-facing and advisor-facing mobile applications. You will own critical mobile modules end-to-end — from architecture through App Store release — and actively integrate AI capabilities into the mobile experience.

Key Responsibilities

●    Design and develop high-quality, production-grade React Native features for iOS and Android apps serving retail investors and wealth advisors.

●    Own module-level architecture decisions: navigation, state management, offline handling, performance optimisation, and security.

●    Integrate with backend APIs for real-time portfolio data, transaction processing, KYC workflows (Digilocker, V-CIP, eSign), UPI, and payment flows.

●    Implement AI-powered mobile features: intelligent recommendations, conversational interfaces, AI-assisted portfolio insights, and smart alerts.

●    Write unit tests, integration tests, and E2E tests; maintain high coverage on critical modules.

●    Conduct thorough code reviews; mentor junior and mid-level mobile engineers.

●    Optimise app performance: startup time, frame rates, memory profiling, and battery usage.

●    Manage app release pipelines: CI/CD, TestFlight/Play Console beta, App Store/Play Store deployment, and OTA updates.

●    Collaborate with Product, Design (Figma), and Backend teams in Agile sprints.

Required Qualifications

●    4–8 years of mobile development experience with 3+ years in production React Native apps.

●    Strong JavaScript/TypeScript fundamentals; deep understanding of React hooks, context, and performance patterns.

●    Experience with state management (Redux Toolkit, Zustand, or Jotai) and navigation (React Navigation v6+).

●    Hands-on with native modules/bridging when React Native abstractions are insufficient.

●    Experience with mobile CI/CD (Fastlane, GitHub Actions, Bitrise, or equivalent).

●    Knowledge of mobile app security: certificate pinning, biometric auth, secure storage, jailbreak/root detection.

●    B.Tech / B.E. in Computer Science or equivalent from a reputed institution.

Good to Have

●    Experience in fintech or BFSI mobile apps — MF transaction apps, trading apps, insurance apps, or payment apps.

●    Familiarity with SEBI/AMFI/IRDAI compliance requirements for digital financial products.

●    Exposure to LLM integration on mobile: streaming responses or AI assistant UX patterns.

●    Experience with React Native New Architecture (Fabric, JSI, TurboModules).

AI Expectations

●    Use AI coding assistants (GitHub Copilot, Cursor, Claude) as standard daily practice.

KEY RESPONSIBILITIES

• Collaborate effectively within a lean team structure focused on core legacy application support, optimization, and modernization.
• Drive robust lift-and-shift strategies as well as meticulous deep-architectural refactoring initiatives for existing enterprise applications.
• Actively leverage AI-based development tools (e.g., GitHub Copilot) and modern DevOps automation to significantly accelerate software delivery speed and enhance engineering standards.
• Perform detailed code analysis, proactive performance tuning, regression testing, and systemic stabilization of legacy software environments.
• Ensure absolute end-to-end ownership of development pipelines and tasks with minimal supervisor oversight.
• Align all newly developed modern features and components with the pre-existing tech stack structure and corporate architecture standards.
• Collaborate dynamically with cross-functional stakeholders to align engineering sprints with critical operational milestones and ensure smooth delivery.

REQUIRED SKILLS & QUALIFICATIONS

• Modernization Expertise: Proven hands-on experience navigating complex legacy software codebases, performing technical debt evaluations, and executing migration patterns.
• Full-Stack Core Proficiency: Deep practical competence in at least one backend ecosystem and frontend ecosystem as applicable: Backend: Node.js, Java, or .NET Frontend: Angular or React
• Cloud & CI/CD Frameworks: Comprehensive deployment experience utilizing major cloud architectures (AWS or Azure) and establishing structured automation pipelines (Jenkins, GitHub Actions, etc.).
• AI & Automation Tooling: Hands-on exposure to modern AI-assisted coding extensions, continuous testing applications, and progressive DevOps automation.
• Quality & Observability: Solid diagnostic knowledge utilizing code coverage analysis, structured logging, monitoring suites, and system-level debugging tools.
• Core Competencies: Superior standalone problem-solving capacity, clear professional communications skills, an autonomous work ethic, and a preference for in-office team collaboration

What you'll do

The Software Engineer will serve as a full stack developer within the AI and Automation team, focusing on building AI agents, chatbots, and automation solutions. The role involves taking ownership and accountability to meet commitments, developing software using programming languages, and designing, executing, and reporting on system and service tests to ensure applications function as required. Additional responsibilities include monitoring, diagnosing, and resolving technology issues, as well as supporting team members by carrying out prescribed design activities using established procedures.

What you'll bring

3+ years of experience in full stack application development using Python (for backend) and JavaScript/Typescript (for frontend).

Strong understanding of Java.

Strong understanding of Machine Learning /MLOps using Python .

Familiarity with Agentic AI frameworks.

Familiarity with Kubernetes (K8S) and Docker.

Experience in developing solutions using Azure storage and compute solutions.

Proven experience working with Azure AI solutions, especially AI Foundry and AI Search.

Experience in developing distributed event-driven applications using brokers such as Apache Kafka, IBM MQ, Solace, or Azure Event Hub.

Proven experience in working with DevOps frameworks, GIT, and CI/CD pipelines.

Experience developing integrations using established Enterprise Application Integration patterns and tools such as Apache Camel.

Required Qualifications

Specify the minimum educational qualifications necessary for this role, including degree type, field of study, and level attained.

Applicants should hold a bachelor’s degree in any discipline and possess practical experience in software development. Degrees in Computer Science, Software Engineering, or Information Technology are particularly advantageous. 

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

Software Engineer

Position Responsibilities

You will primarily execute within defined frameworks and grow your independent scope over time. The following reflects what you will own and contribute to:

Build & Integrate

• Build and maintain AI-enabled workflows, platform integrations, and internal tools using PHP, JavaScript, Workato, and Web Services
• Develop prototypes and proofs of concept; contribute to production deployments under senior guidance
• Implement and test integrations between Deltek's support platforms and internal data systems.

Analyse & Solve

• Break down defined problems into actionable tasks; identify risks, dependencies, and edge cases before they surface in production
• Troubleshoot complex issues across the full stack and document root cause findings clearly
• Investigate stakeholder-reported issues to identify whether the problem is technical, process-related, or both.

Operate & Improve

• Follow established governance, architecture, and deployment processes; raise improvement suggestions through proper channels
• Write and maintain documentation for systems, workflows, business rules, and solution designs
• Participate actively in sprint ceremonies; manage your own tasks and flag blockers early
• Demonstrate continuous learning in AI, automation, and integration technologies — this space moves fast and curiosity is part of the job.

Nice-to-Have Skills

The following are not required for the role, but candidates with depth in any of these areas will stand out. Listed in rough order of relevance to this team's current work:

Oracle Service Cloud

Workato / iPaaS

Salesforce

Gainsight

AI / LLM integration

Snowflake

Microsoft Power BI

Microsoft Power Apps

Cloud-native development

Experience with AI tools (GitHub Copilot, LLM APIs, automation agents) used in an operational or product context — not just personal experimentation — is a genuine plus for this team.

Qualifications

• Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. Equivalent practical experience considered.
• Experience: 2–4 years of hands-on experience in software engineering, systems integration, or a closely related field. Internship and co-op experience counts if it involved real production systems.
• Coding: Demonstrable PHP and/or JavaScript experience — a portfolio, GitHub profile, or code sample you can speak to will strengthen your application.
• Collaboration model: Comfortable working remotely with distributed teams. The role requires regular overlap with US East/Central time zones (approximately 2:00 PM – 11:00 PM IST for at least part of the week).
• Language: Strong written and spoken English is essential — much of the collaboration with stakeholders and senior engineers happens asynchronously in writing.

About the Role:

We are looking for a hands-on Senior Backend Engineer who can own complex product and platform problems end-to-end. You will work across AI agents, workflow orchestration, enterprise integrations, and distributed systems that operate reliably in real-world IT environments.

This role requires strong engineering judgment, product thinking, and the ability to transform ambiguous requirements into scalable, production-ready systems.

Key Responsibilities

• Build the core platform powering agentic IT operations.
• Design reliable multi-step workflows with retries, approvals, rollback mechanisms, and recovery.
• Develop AI pipelines for intent understanding, planning, validation, and execution.
• Build integrations with Microsoft 365, PSA, RMM, and other IT management platforms.
• Design secure, scalable multi-tenant enterprise systems.
• Improve production observability, monitoring, and reliability.
• Own major features from architecture and development through deployment and production support.
• Mentor engineers and contribute to raising the technical standards of the team.

Required Skills & Experience

• 8+ years of experience building backend platforms, distributed systems, or enterprise applications.
• Strong software engineering fundamentals and system design expertise.
• Experience building REST APIs, asynchronous/event-driven systems, databases, and cloud-native applications.
• Strong problem-solving skills with the ability to independently drive solutions in ambiguous environments.
• Excellent debugging, production engineering, and ownership mindset.
• Comfortable using AI coding assistants while independently validating code quality and correctness.

Preferred Technical Stack

Languages & Frameworks

• TypeScript
• Node.js
• Python

Databases & Messaging

• PostgreSQL
• Redis
• Message Queues
• Event-driven architectures

Cloud & Infrastructure

• AWS
• Docker
• Terraform

Enterprise Integrations

• Microsoft Graph API
• Microsoft 365
• OAuth
• Webhooks
• PSA/RMM platforms

AI & Workflow Technologies

• Workflow engines
• State machines
• LLM Agents
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks

What We're Looking For

• Strong backend engineering expertise with experience building scalable production systems.
• Deep understanding of distributed systems and platform architecture.
• Ability to own features from design through production.
• Product mindset with strong engineering ownership.
• Excellent collaboration and mentoring skills.

Why Join Neels AI?

• Build the operating layer for the next generation of IT services.
• Work on AI systems that take real-world actions—not just generate text.
• Solve challenging problems across AI, infrastructure, security, and enterprise automation.
• Join at an early stage and influence product direction, architecture, and engineering culture.
• Work directly with experienced founders and global enterprise customers.

We’re reimagining how users interact with SaaS products and looking for a founding engineer to help build the first version from zero alongside a founder with experience building at HubSpot, Asana, and Datadog.

Role

We are hiring a Founding Engineer with strong frontend, product, and design instincts. You will work directly with the founder to shape the product, prototype quickly, make architecture decisions, think through user problems, and turn an early thesis into a working product.

The ideal person is a builder — someone who can move from an ambiguous idea to prototype, from prototype to usable product, and from usable product to scalable architecture. You should be excited by the opportunity to change how users interact with software and, eventually, the internet itself.

What You’ll Build

You will help build the first version of our core product, including:

• An SDK powered by frontier AI models and modern product experience protocols
• Backend services with rules, resolution logic and intent inference
• Early prototypes that help us test different wedges with customers
• Production-ready systems as the product direction becomes clearer

This role will likely span React, TypeScript, Next.js, backend APIs, databases, event tracking, and AI-assisted workflows.

Required Experience

• 2–5 years of software engineering experience, or equivalent demonstrated ability
• Strong frontend engineering experience with React and TypeScript
• Ability to design clean, scalable frontend component architecture
• Experience with backend APIs and databases
• Experience taking ambiguous product ideas and turning them into working software

Strong Plus

• Experience building 0-to-1 products
• Experience at an early-stage startup
• Experience building SaaS products

What Success Looks Like

In the first 30 days, you will:

• Understand our thesis, target customer, and product direction
• Help refine the first product wedge
• Build and iterate on early prototypes
• Set up core frontend and backend foundations
• Move quickly across product, design, and engineering decisions

In the first 60–90 days, you will:

• Ship the first usable product prototype
• Help build demo experiences that clearly communicate the product vision
• Create the first version of the adaptive frontend architecture
• Help test the product with early users, customers, or design partners
• Identify what should become production-grade versus what should remain experimental

Leadership Opportunity

This is a founding role with significant upside.

For the right person, strong performance can lead to a leadership position as the company grows. We are looking for someone who can become a long-term technical and product partner — someone who can help build the first version, shape the architecture, hire future engineers, and potentially lead major parts of the engineering organization.

This is an opportunity to join at the earliest stage and help define both the product and the company.

Why Join

• Build from zero with high ownership
• Work directly with the founder
• Help create a new category of software
• Own meaningful technical decisions from day one
• Opportunity to join the leadership team as the company scales

About AppMaker (by StarApps)

We don’t just build apps; we build massive revenue channels for the world's most exciting brands.

AppMaker is a top-tier, zero-code mobile app builder for Shopify merchants. We empower brands to create stunning, high-performance native iOS and Android apps that drive real growth. We are the trusted engine behind the mobile commerce success of industry leaders and iconic global and Indian brands, including Levi’s, Jockey, XYXX, Rare Rabbit, Supertails, Kalki, and many more.

The Opportunity

The mobile app market is growing at an unprecedented pace, and with $1M ARR, AppMaker is positioned extremely well as a proven leader in this category. We are now looking for a creative, data-obsessed, and AI-native marketer to help us scale our demand generation, expand our global footprint, and elevate our brand presence to the next level.

If you love the intersection of SaaS, e-commerce, and cutting-edge tech, this is your playground.

What You’ll Drive

A. Business Growth & Global Expansion

• Drive International Demand: Execute targeted campaigns to systematically increase demos and pipeline velocity in the North American market.
• Foundation SEO & Ads: Take ownership of our digital foundation by focusing heavily on high-intent SEO and paid ad strategies to drive consistent inbound growth.
• Multi-Channel Execution: Design and optimize high-converting campaigns across email, LinkedIn, YouTube, Instagram, and newsletters.

B. Brand & Community Curation

• Curate Events for B2C Brands: Design, organize, and execute high-impact experiential events tailored for leading B2C and D2C brands.
• Curate Podcasts: Host and curate insightful podcast properties that bring together industry leaders, innovators, and thinkers.
• Curate Social Media Strategy: Build and execute a comprehensive, high-engagement social media strategy to position Appmaker as a thought leader.

Who You Are

• Experienced in the Space: You have 1–4 years of marketing experience, ideally in SaaS.
• AI-Native: You actively use AI tools to multiply your output and optimize your marketing workflows.
• An Experimenter at Heart: You aren't afraid to test new channels, scale what works, and pivot fast based on data.

Bonus Points If You Have:

• Deep knowledge or prior experience within the Shopify ecosystem.
• Experience building highly automated AI outbound workflows.

Why Join Us?

At AppMaker, you will be at the forefront of the mobile commerce revolution, working from our Pune office with a fast-moving, innovative team. You’ll get the creative freedom to test bold ideas, the resources to capture the global market, and the opportunity to grow your career alongside a rapidly scaling global SaaS product.

Ready to build the future of mobile commerce? Apply now.

A BIT ABOUT US

Appknox is a leading AI-native mobile application security platform trusted by enterprises around the world. Recognized by Gartner and G2, Appknox helps organizations secure mobile applications throughout their lifecycle through automated security testing, continuous monitoring, and actionable intelligence.

Headquartered in Singapore with engineering based in Bengaluru, Appknox serves customers across North America, the Middle East, Southeast Asia, Japan, and India. Our customers include Fortune 500 companies, governments, financial institutions, and digital-first enterprises that rely on Appknox to secure their mobile ecosystem.

We are a profitable, fast-growing B2B SaaS company with a highly collaborative culture and ambitious plans to shape the future of application security in the AI era.

About The Role

Application security is undergoing a fundamental shift. AI is changing how software gets built, how vulnerabilities emerge, how security teams investigate and prioritise risk, and how enterprise buyers discover and evaluate security platforms.

Appknox has spent more than a decade building deep expertise in mobile application security. Our next chapter requires us to evolve both what Appknox stands for and how effectively we take that story to market.

We are looking for a hands-on Lead for GTM Marketing to translate Appknox’s product, positioning and business priorities into integrated go-to-market programmes that create awareness, engagement and pipeline.

You will lead the GTM marketing team and own demand generation, campaigns, ABM, website and conversion, organic discovery, content activation, field marketing and events. You will work as a peer to Product Marketing, partnering closely with Sales, Product and leadership to connect market strategy with disciplined execution.

This is not a role for someone who only manages agencies, runs isolated campaigns or waits to receive briefs. You will help determine where marketing should focus, challenge assumptions, build the operating plan, develop the team and remain close enough to execution to maintain a high quality bar.

What You Will Own

1. GTM strategy 

Translate Appknox’s product, positioning and revenue priorities into a focused GTM strategy, operating plan and measurable goals.

For each significant opportunity, help answer:

Who are we trying to influence? What problem matters to them? What do we want them to believe? What should we take to market? Through which channels? What commercial outcome should it create?

You will:

• Lead and develop the GTM marketing team, creating clarity around priorities, ownership, quality and performance.
• Build quarterly and annual GTM plans aligned with company, product and regional revenue priorities.
• Prioritise across markets, audiences, channels and opportunities rather than allowing every request to become a campaign.
• Manage relevant budgets, agencies and specialist partners.
• Establish clear operating rhythms across GTM Marketing, Product Marketing, Sales and Product.

2. Demand Generation and Integrated Campaigns

Build integrated programmes that create qualified demand and contribute meaningfully to pipeline.

You will:

• Own marketing-sourced and marketing-influenced pipeline targets, measurement and review rhythms.
• Design programmes across inbound, paid, organic, content, webinars, retargeting and emerging acquisition channels.
• Connect campaigns to defined audiences, customer problems, offers, conversion paths and commercial outcomes.
• Diagnose funnel performance and work with Sales and revenue operations to improve conversion.
• Identify successful GTM plays that can be repeated and scaled.

Success will be measured through qualified engagement, opportunity creation and progression, pipeline contribution and conversion-not campaign activity alone.

3. Account-Based and Segment GTM

Partner with Sales and Product Marketing to build focused programmes for priority accounts, industries, personas and regions.

You will:

• Identify segments and accounts where focused marketing can create disproportionate impact.
• Understand buying committees, account-level triggers and market-specific context.
• Work with Product Marketing to develop relevant narratives by segment and buyer.
• Design integrated ABM programmes, offers, landing experiences and content.
• Coordinate marketing engagement with SDR and sales outreach.
• Track account engagement, opportunity creation and progression.

At Appknox, ABM should combine account insight, buying committee, customer problem, narrative, offer and sales motion-not simply apply advertising to an account list.

4. Website, Organic Discovery and Conversion

Transform Appknox.com into an active GTM and experimentation engine.

You will own or drive:

• Information architecture and messaging activation.
• Product, use-case, industry, persona, regional and competitive pages.
• Campaign landing experiences and conversion paths.
• Website experimentation and performance measurement.
• SEO and evolving AI-led discovery across platforms such as ChatGPT, Gemini and Perplexity.

You will develop a measurement system connecting discoverability, relevance, engagement, conversion and pipeline. Traffic, rankings and AI mentions alone are not success.

5. Product Launches and Market Activation

Partner with Product Marketing and Product to take new capabilities and products to market.

Product Marketing will lead customer insight, ICP definition, positioning, competitive differentiation and product narrative. You will lead GTM planning and activation across campaigns, website, content, distribution, organic discovery, sales activation, field programmes and amplification.

This is not a downstream handoff. You will participate in launch strategy, contribute market and performance insight, and help test whether the positioning works when exposed to buyers.

6. Content and Thought Leadership

Lead the GTM content agenda and the team responsible for bringing it to life.

You will:

• Determine what Appknox should talk about based on customer problems, market shifts, buyer demand and the company’s strategic point of view.
• Guide the development of category narratives, research-led content, technical thought leadership, competitive content, executive communications and campaign assets.
• Build content distribution into every major initiative rather than treating publication as the finish line.
• Maintain a consistently high standard of clarity, substance and differentiation.

Every significant content investment should answer: Who are we trying to influence? What belief are we trying to change? What should happen after they consume it?

7. Field Marketing and Events

Own the GTM strategy and marketing execution for priority industry events, executive programmes, regional activations and field initiatives.

You will:

• Select and prioritise events based on target audiences, market objectives and commercial potential.
• Build pre-event, onsite and post-event motions with Sales.
• Develop programmes that create meetings, progress target accounts and deepen customer and partner relationships.
• Establish consistent measurement for event-sourced and event-influenced pipeline.
• Balance global consistency with the realities of different regions and sales motions.

8. Market Intelligence and Experimentation

Work with Product Marketing to continuously monitor competitor positioning, market narratives, buyer behaviour, campaign signals, organic discovery and emerging security themes.

Product Marketing will lead the strategic implications for positioning and product. You will ensure relevant market and performance signals translate rapidly into GTM action.

Work Expectations

First 60 days

• Understand Appknox’s market, customers, product portfolio, team, current GTM programmes, website funnel, organic presence and competitive landscape.
• Establish performance baselines and clarify team ownership and operating rhythms.
• Identify the three to five highest-leverage GTM opportunities or leaks.
• Build the initial GTM and experimentation roadmap.

Within 90 days

• Ship meaningful website, campaign or conversion improvements.
• Launch the first focused account or segment programmes with Sales.
• Improve the speed at which narratives, campaigns and landing experiences reach the market.
• Establish practical measurement connecting marketing programmes to qualified engagement, opportunities and pipeline.
• Create clearer briefs, priorities and performance expectations for the GTM marketing team.

Within 6 months

• Stronger market association between Appknox and the strategic application-security themes it chooses to own.
• Improved qualified organic engagement and conversion.
• One or two repeatable account, segment or regional GTM plays.
• Faster and more disciplined website and campaign experimentation.
• Better coordination across GTM Marketing, Product Marketing, Sales and Product.
• Clearer visibility into which channels, narratives and programmes influence pipeline.
• A repeatable system for taking new products and market narratives to market.

Personality Traits We Admire

• Strategic thinker with strong execution skills.
• Curious, commercially minded, and customer obsessed.
• Comfortable with ambiguity and fast-moving environments.
• Strong collaborator who can influence cross-functional teams.
• Excited by AI and emerging technologies.
• Eager to build and grow with the company over the long term.

What We Are Looking For

• 7–10 years of B2B SaaS marketing experience, ideally within technical SaaS, cybersecurity or enterprise software.
• Experience leading or managing a marketing team, with the ability to set direction, develop people and maintain a strong execution bar.
• Demonstrated ownership of integrated GTM programmes and measurable pipeline outcomes.
• Strong understanding of product positioning and messaging, with the ability to turn strategy into market-facing activation.
• Experience working closely with Sales on demand generation, ABM, field marketing or regional programmes.
• Strong digital and website fundamentals, including conversion optimisation and organic discovery. Familiarity with AEO and GEO is valuable, but deep SEO specialisation is not required.
• Ability to understand technically complex products and simplify them without losing substance.
• Strong analytical capability and a desire to understand why a metric moved—not simply report that it did.
• Excellent writing, storytelling and communication skills.
• Ability to move between strategic thinking, team leadership and hands-on execution.
• Comfort operating in ambiguity, making trade-offs and building systems where none currently exist.
• Low ego, high ownership and the confidence to challenge assumptions constructively.

Interview Process

Round 1: Hiring Manager

Round 2: Functional Case Study

Round 3: Marketing + Sales Panel

Round 4: Co-founder Discussion

Round 5: HR Discussion

Compensation and Benefits

• Competitive compensation and ESOP opportunities.
• Flexible work environment.
• Comprehensive health insurance for employees and their families.
• Opportunity to work with global customers and cutting-edge AI and cybersecurity technologies.

Why Join Appknox?

Ownership and Impact

Shape how a global cybersecurity company is positioned in the market and influence strategic decisions across the business.

Growth Opportunity

This role offers a clear path toward building and leading the product marketing function as Appknox scales.

High Visibility

Work closely with company leadership and collaborate across Product, Engineering, Sales, and Customer Success.

Continuous Learning

We believe in experimentation, curiosity, and helping people grow beyond their current role.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level

We're looking for a motivated Talent Acquisition Intern who is eager to learn the end-to-end hiring process. Curios, good communication skills, and a willingness to get hands-on with sourcing, screening, and hiring.

Role Overview

As a Talent Acquisition Intern, you'll get exposure to the full hiring lifecycle — from sourcing candidates to supporting interviews and closing roles — while working closely with hiring managers to understand staffing needs across departments.

You'll also build an understanding of what different roles at Incubyte actually require, help keep the interview process smooth for candidates, and learn how to evaluate candidates for both technical skill and culture/values fit.

Key Responsibilities

• Talent Sourcing: Assist in developing sourcing strategies and hiring plans to fill open roles within given timelines.
• Employer Branding: Support employment branding initiatives to strengthen our presence with prospective candidates.
• Recruitment & Selection: Help plan and conduct interviews and screening calls, and contribute ideas to improve the interview process.
• Candidate Experience: Help ensure every candidate has a positive, well-organized experience throughout the hiring journey.
• Panel Support: Assist in preparing interview panels to evaluate candidates on both technical ability and culture/values alignment.
• Retention & Development: Support initiatives around employee retention and development.
• Events & Outreach: Help organize and/or attend career fairs, assessment centers, and campus placement drives.
• Reporting: Assist in tracking hiring metrics and building reports to identify areas for improvement.

Requirements

What We're Looking For

• Interest in Recruiting: Genuine interest in full-cycle recruiting, sourcing, and employment branding.
• Willingness to Learn: Openness to understanding different selection methods and techniques.
• Digital Comfort: Comfortable using social media and job boards, or willing to quickly learn.
• Role Curiosity: Willingness to understand the duties and competencies of different roles across the org.
• AI Fluency: Should know how to leverage AI tools like claude, chatgpt etc to support sourcing, screening, and recruiting tasks.
• Communication: Good communication skills, both written and verbal.
• Organization: Well-organized and able to manage multiple tasks at once.
• Proactive Mindset: A proactive, go-getter attitude with an interest in strategic thinking.

Benefits

Life at Incubyte ​

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

​

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance 

Key Responsibilities

1. Solutioning & Proposal Development

•   Partner with Senior SMEs and Practice Leads to design end-to-end Data & AI solutions for client pursuits — contributing to structure, content, and commercial framing.

•   Build client proposals, solution documents, and program structures that are well-organized, accurate, and ready to use without significant rework.

•   Translate client requirements into structured, outcome-oriented learning journeys — adoption, capability uplift, and measurable business outcomes, not just module lists.

•   Support customized offerings across Data Engineering, AI / ML, and GenAI and Agentic AI tracks; help assemble pursuits from existing accelerators rather than rebuilding from scratch.

2. Client Engagement Support

•   Participate in client discussions, discovery calls, and requirement-gathering sessions — capture context with the rigour that makes the next conversation sharper.

•   Convert business needs into solution frameworks and delivery models with guidance from Senior SMEs; document customer priorities so Practice and Sales can act on them.

•   Support pitch decks, case studies, and success stories — buyer-specific, visually clean, and aligned to how the customer thinks about their own problem.

•   Stay engaged through the proposal cycle and handoff to delivery; ensure no requirement gets lost between discovery and execution.

3. Content & Program Structuring

•   Assist in designing curriculum outlines, learning journeys, and hands-on lab structures that hold up against real-world enterprise contexts.

•   Work with internal and external SMEs to ensure content aligns with current industry trends, real use cases, and business outcomes — not generic technology overviews.

•   Maintain a library of reusable program structures, slide assets, and case study inserts; flag gaps in the existing content library proactively.

4. Research & Market Intelligence

•   Track trends across the AI / GenAI / LLM ecosystem and Data Engineering & Analytics — translate findings into usable inputs for outreach, pitching, and offering design.

•   Identify new solution opportunities and product ideas based on market signals, customer asks, and competitor moves.

•   Benchmark StackRoute's offerings against competitors; surface gaps and differentiation angles for Senior SMEs and Practice Leads to act on.

5. Internal Collaboration

•   Work fluidly with Delivery, Sales, and external SMEs to ensure solutions designed on paper actually work in delivery — surface feasibility risks early, not late.

•   Coordinate inputs across Practice teams during pursuit cycles; hand off to delivery with documentation that captures customer commitments and success metrics.

Must Have Technical & Functional Skills

•   Good understanding of terminologies in Data Engineering (ETL, pipelines, data lakes), Data Analytics & BI concepts, and Machine Learning fundamentals, AI tools ( not technical expertise but L1-L2 knowledge should be present from application standpoint).

•   Awareness of GenAI / LLM vocabulary — prompt engineering, RAG, APIs — with enough depth to hold a credible first conversation with a technical stakeholder.

•   Strong PowerPoint skills (client-ready decks), Excel for effort estimation and costing basics, and structured documentation — proposals, SoWs, one-pagers.

•   Strong problem-solving and structured thinking — breaks complex requirements into clear, communicable solutions.

•   Comfortable communicating with both technical and non-technical stakeholders; good storytelling and presentation instincts; understanding of L&D context is a plus.

Qualifications & Experience

Required:

•   5-15 years in the education products, or in solutioning, pre-sales, or consulting roles with exposure of 3-5 years in Data/AI/Analytics.

•   Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related discipline.

Nice to Have competences:

•   Prior pre-sales, proposal writing, or design development experience.

•   Certifications in cloud, data, or AI platforms (AWS, Azure, GCP, or model-provider certifications).

Core Competencies

·      Structured Thinking: Organises ambiguous client and technical inputs into logical, buyer-relevant narratives. Builds proposals that flow from problem to solution.

·      Solution Articulation: Translates Data & AI capabilities into crisp, persona-specific stories. Adapts the pitch for a CTO, L&D Head, or BU Head without losing substance.

·      Research & Synthesis: Gathers and distils large volumes of information into sharp, usable outputs. Knows what to include and what to leave out.

·      Written Communication: Writes a tight brief, a clean slide, and a clear email. Adapts register from internal working notes to buyer-facing collateral.

·      Curiosity & Learning Agility: Picks up new tools, concepts, and sectors quickly. Tracks AI / GenAI shifts proactively rather than waiting to be told what to read.

·      Bias for Action: Ships a useful 10-slide deck on time rather than a polished 20-slide deck that's late. Comfortable with iteration over perfection.

Social Media Growth Manager

SUMMARY

We're looking for an AI-first, growth-oriented Social Media Growth Manager who understands how to build brands in

today's digital landscape. This role goes beyond posting content—you'll be responsible for creating high-impact

content, growing our online communities, increasing brand awareness, and driving measurable business outcomes

through innovative social media strategies.

If you're someone who is obsessed with social media trends, understands platform algorithms, loves experimenting

with content, and can turn ideas into viral campaigns, we'd love to hear from you.

TECHNICAL SKILLS

Strong understanding of social media algorithms and organic growth strategies.

Excellent storytelling and content creation skills.

Proven ability to create high-performing and viral social media content.

Strong analytical skills with the ability to interpret data and make growth-focused decisions.

Deep understanding of audience behaviour and digital content consumption.

Excellent copywriting and communication skills.

Creative mindset with a passion for experimentation and continuous learning.

Ability to work in a fast-paced, performance-driven environment.

ChatGPT

Claude

Google Gemini

Perplexity AI

Canva AI

CapCut AI

Midjourney (preferred)

Adobe Express AI

Meta Business Suite

Google Analytics

Social media scheduling and analytics tools

KEY RESPONSIBILITIES

- Develop and execute social media strategies across Instagram, Facebook, LinkedIn, YouTube, X, and emerging

platforms. - Create engaging, shareable, and viral content that resonates with our target audience. - Drive consistent

growth in followers, reach, engagement, impressions, watch time, and other key social media metrics. - Plan and

manage content calendars aligned with business objectives and marketing campaigns. - Collaborate with designers,

video editors, and marketing teams to create compelling creatives and videos. - Stay updated with platform algorithms,

content trends, creator economy insights, and emerging social media features. - Monitor performance metrics and

optimize content using data-driven insights. - Conduct competitor analysis and identify opportunities to outperform

industry benchmarks. - Build and engage online communities by responding to comments, messages, and audience

interactions. - Continuously test new content formats, storytelling techniques, hooks, and distribution strategies to

maximize organic growth.

AI & CONTENT INNOVATION

AI is an integral part of this role.You should be comfortable leveraging AI to accelerate content production while maintaining creativity and

authenticity.

Responsibilities include:

- Using AI tools to generate content ideas, scripts, captions, headlines, and campaign concepts. - Repurposing long-

form content into multiple short-form assets using AI workflows. - Creating AI-assisted images, videos, reels, and

presentation content. - Writing effective prompts to generate high-quality outputs. - Researching trends, competitors,

and audience insights using AI-powered platforms. - Identifying and adopting new AI tools that improve efficiency,

creativity, and performance.

EXPERIENCE

- 2–5 years of experience in Social Media Marketing, Content Marketing, or Digital Marketing. - Demonstrated

success in organically growing social media accounts. - Experience creating short-form video content and high-

engagement campaigns. - Portfolio showcasing successful campaigns, viral content, or measurable audience growth is

mandatory. - Experience in Education, EdTech, Digital Marketing, or Personal Branding will be an added advantage.

WHAT WE'RE LOOKING FOR

The ideal candidate:

- Thinks like a growth marketer rather than a traditional social media manager. - Is data-driven and comfortable

making decisions based on numbers. - Has a strong growth mindset and continuously experiments with new ideas. - Is

proactive, curious, and always learning. - Understands internet culture, memes, trends, and viral content mechanics. -

Can balance creativity with business objectives. - Is passionate about building communities and brands that people

genuinely engage with.

KEY PERFORMANCE INDICATORS (KPIS)

Success in this role will be measured by:

- Growth in followers and subscribers - Organic reach and impressions - Engagement rate - Video views and watch

time - Shares, saves, and comments - Community growth and audience retention - Content production efficiency -

Lead generation and traffic from social media - Brand awareness and campaign performance

WHY JOIN US?

You'll have the opportunity to work on exciting brands, experiment with the latest AI technologies, influence

marketing strategy, and build social media campaigns that reach millions. We believe in creativity, ownership,

innovation, and continuous learning, and we're looking for someone who shares the same mindset.

Job Description

This is a remote position.

Inbound Marketing & GTM Operations Manager

Incubyte is hiring a hands-on operations manager to run its inbound marketing and GTM execution. The website, SEO strategy, conference playbooks, and partner/referral systems are already built — this role owns execution, tracking, and follow-through, working closely with founders, sales, engineering, and external partners.

Key Responsibilities

• Website: Maintain site post-handover; monitor performance, GA/GSC/GTM, forms, and conversions; track issues and fixes.
• SEO & Content: Execute the content calendar (blogs, case studies, landing pages, LinkedIn, newsletters); coordinate writers/designers/engineers from brief to publish; track organic traffic, keywords, and content performance.
• Conferences: Run existing conference playbooks (pre/during/post); coordinate event assets (decks, one-pagers, QR codes, meeting lists); track leads and outcomes.
• Partner & Referral: Maintain partner/referral trackers; coordinate collateral and communication between internal teams and external partners.
• Sales Enablement & Reporting: Maintain sales collateral (decks, case studies, one-pagers); ensure basic CRM/HubSpot hygiene and lead routing; deliver weekly/monthly reports across all workstreams.

Requirements

• 2–5 years in B2B marketing, inbound marketing, marketing ops, content ops, or GTM coordination
• Background in B2B SaaS, tech services, AI, IT services, or consulting
• Educational or professional background in IT (B.Tech, MCA, or BCA) or prior marketing experience within IT services or GCC (Global Capability Center) organizations; marketing experience at a UX or product design services company is also a strong fit
• Strong project management, content calendar, and stakeholder coordination skills
• Working knowledge of SEO execution and performance tracking
• Familiarity with GA, GSC, GTM
• Comfortable with HubSpot/CRM basics
• Strong written communication
• High ownership; able to execute independently against existing playbooks

Good to Have

• Conference/event marketing experience
• Partner/referral GTM experience
• Experience with technical teams on content
• Webflow/WordPress familiarity
• Sales collateral creation
• Background in AI, cloud, data, or software services marketing

Full Stack Developer

Experience: 3 to 5 Years

Location: Hyderabad

Interview Mode: Face-to-Face (F2F)

Work Mode: Hybrid

Employment Type: Full-Time

Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.

Role Summary;

We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.

Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.

Candidates must have practical experience in one or more of the following:

• Building AI-powered applications.
• Working with Large Language Models (LLMs).
• Prompt Engineering.
• Retrieval-Augmented Generation (RAG).
• AI agent development using LangChain, LangGraph, or similar frameworks.
• Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
• Developing AI-enabled workflows and intelligent business applications.

Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.

Key Responsibilities

• Develop and maintain full-stack web applications.
• Build responsive frontend applications using React.js.
• Develop backend REST APIs using Python (FastAPI / Django / Flask).
• Design, develop, and integrate AI-powered features into applications.
• Develop and deploy applications on AWS cloud services.
• Work with relational databases (MySQL / PostgreSQL / SQL Server).
• Integrate frontend and backend components.
• Follow Agile/Scrum development processes.
• Write clean, maintainable, and production-ready code.
• Collaborate with cross-functional teams to deliver scalable and high-quality solutions.

Required Skills (Mandatory)

• 3 to 5 years of Full Stack development experience.
• Strong experience in React.js.
• Strong backend development experience in Python.
• Hands-on experience with AWS cloud services.
• Hands-on AI development experience (Mandatory).
• Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
• REST API development experience.
• Strong SQL database experience.
• Git and Agile development workflow.
• Good understanding of software design principles and best practices.

Good to Have

• Docker
• CI/CD pipelines
• Microservices architecture
• Kubernetes
• Experience with vector databases and AI model integrations

Preferred Qualifications

• Bachelor's degree in Computer Science or a related field.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Passion for learning new technologies, especially AI, cloud technologies, and modern software development.

Location: Jaipur, Rajasthan (Work From Office)

Experience: 4+ Years

Job Type: Full-Time

We're looking for an AI Assisted Developer who is passionate about building modern applications using AI-powered coding tools. You'll leverage AI to accelerate development while delivering scalable, high-quality software solutions.

Key Responsibilities

• Build scalable web applications, APIs, and automation workflows.
• Leverage GitHub Copilot, Cursor, Claude Code, ChatGPT, and similar AI tools to improve development productivity.
• Optimize AI prompts and workflows for efficient coding.
• Apply best practices in system design, TDD, debugging, testing, and code reviews.
• Collaborate with Product, QA, and DevOps teams to deliver high-quality software.
• Stay up to date with emerging AI development tools and technologies.

Requirements

• 4+ years of software development experience.
• Proficiency in Python, JavaScript/TypeScript, or Go.
• Experience with React, Node.js, or modern development frameworks.
• Hands-on experience with GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar AI coding tools.
• Strong understanding of Git, CI/CD, SQL/NoSQL, system design, and software engineering principles.
• Excellent problem-solving and communication skills.

Preferred: Experience with LangChain, LangGraph, OpenAI APIs, FastAPI, Agentic AI, MCP, Prompt Engineering, AI Automation, or AWS/Azure/GCP.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Location: Jaipur (Work From Office)

Employment Type: Full-Time

We're looking for a GenAI Engineer (LLM Engineer) to build scalable AI-powered SaaS applications using Large Language Models (LLMs). You'll develop intelligent AI workflows, integrate LLMs into production systems, and build secure, high-performance AI solutions.

Key Responsibilities

• Integrate LLM APIs (OpenAI, Claude, Hugging Face) into production applications.
• Design and optimize RAG pipelines and prompt engineering workflows.
• Build and manage Vector Databases (Pinecone, Weaviate, pgvector).
• Optimize AI performance, latency, and operational cost.
• Ensure secure, scalable AI architecture.
• Collaborate with Product and Engineering teams to deliver AI-powered features.

Requirements

• 3+ years of backend development using Python, Go, or Node.js.
• Hands-on experience with LLMs, LangChain or LlamaIndex.
• Strong understanding of RAG, Prompt Engineering, and Vector Databases.
• Experience with AWS, GCP, or Azure.
• Knowledge of APIs, Microservices, and AI application development.

Preferred: Experience in SaaS/FinTech, LLMOps, or Model Fine-tuning.

Education: B.Tech, BCA, or equivalent technical qualification.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

We are seeking a high-caliber Senior Full-Stack Engineer to lead the design, development, and deployment of our next-generation intelligent applications. In this role, you will bridge the gap between robust full-stack architecture and smart artificial intelligence integrations. You will be responsible for building scalable Node.js microservices, crafting intuitive React interfaces, and embedding AI capabilities (such as LLM APIs, autonomous agents, and smart workflows) to solve complex user problems.

As a senior member of the team, you will champion technical excellence, mentor junior developers, and influence our product roadmap.

Key Responsibilities:

AI Integration & Engineering

• Architect and implement backend systems that interface with Large Language Models (LLMs) and other AI services via APIs (e.g., OpenAI, Anthropic, or custom internal model endpoints).
• Build middleware to handle prompt engineering, context orchestration, and structural parsing of AI responses into application logic.
• Implement guardrails, caching layers, rate-limiting, and evaluation metrics for AI model outputs to ensure reliability, security, and cost-efficiency.
• Stay up-to-date with emerging generative AI patterns, model capabilities, and integration techniques to drive product innovation.

Full-Stack Development

• Backend: Build, scale, and maintain highly performant, secure, and production-ready RESTful APIs and GraphQL services using Node.js (TypeScript / Express).
• Frontend: Develop responsive, state-managed, and visually seamless user interfaces using React.js and modern state management libraries (e.g., Redux Toolkit, Zustand, React Query).
• Optimize application performance across the stack—from database query optimization to frontend rendering bottlenecks.

Architecture & Leadership

• Lead architectural decisions, promoting modular design, code reusability, and scalable system infrastructure.
• Enforce high engineering standards through rigorous code reviews, automated testing (unit, integration, E2E), and comprehensive documentation.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning and technical growth.
• Work closely with Product Managers, UX Designers, and stakeholders to translate ambitious product visions into concrete technical execution.
• 
  

Technical Skills & Qualifications

Required Experience

• Experience: 5+ years of professional software development experience, with a proven track record of shipping production-grade SaaS applications.
• Node.js Ecosystem: Deep expertise in backend development using Node.js and TypeScript, including asynchronous programming, event-driven architecture, and microservices.
• React Ecosystem: Advanced proficiency in React, hooks, state management, and modern build tools (Vite, Webpack).
• AI Practice: 1–2+ years of practical experience integrating LLM APIs and cognitive workflows into customer-facing applications.
• Databases: Strong proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB).
• Cloud & DevOps: Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD pipelines.

Soft Skills

• Exceptional problem-solving skills and a proactive "ownership" mindset.
• Strong communication skills, with the ability to explain complex technical or AI concepts to non-technical stakeholders.
• Proven ability to thrive in a fast-paced, iterative environment.

AI/ML Engineer – Fresher

Location: Remote

Experience: 0–1 Year

About the Role

We are looking for a Fresher/AI-ML Intern who has hands-on experience through internships, academic projects, hackathons, or personal projects and is interested in building AI solutions for the Higher Education and SaaS domain.

Required Skills

• Strong knowledge of Python and basic ML/AI concepts
• Hands-on experience with LLMs, RAG, AI Agents, Prompt Engineering
• Knowledge of LangChain / LangGraph / LlamaIndex
• Exposure to PyTorch / TensorFlow / Hugging Face
• Basic experience with FastAPI / REST APIs
• Knowledge of Vector Databases – Pinecone, Qdrant, ChromaDB, FAISS, or pgvector
• Basic understanding of Git, Docker, and AWS
• Good understanding of Computer Vision / NLP is a plus

Preferred Project Experience

Candidates with projects/internships in any of the following will be preferred:

• RAG / LLM / AI Agents
• Computer Vision / CCTV / Video Analytics
• Face Recognition
• OCR / OMR
• Trading / Financial AI
• NLP / Document Intelligence
• AI Automation / EdTech / SaaS

Who Can Apply?

• Freshers or candidates with 0–1 year experience
• Candidates with relevant AI/ML internship experience
• Must have at least 1–2 hands-on AI/ML projects and be able to explain the implementation clearly.

If you are passionate about AI/ML and want to work on real-world AI applications, we would love to hear from you.

AI Automation & Web Systems Specialist

Salary: Up to ₹50,000 per month

Job Type: Full-time

Work Mode: [Remote / Office / Hybrid]

Job Overview

We are looking for a technically skilled and resourceful professional to support website systems, automation workflows, reporting, and digital operations.

The ideal candidate should be comfortable inspecting code, troubleshooting technical issues, working with automation tools, and using AI platforms such as ChatGPT and Claude to research, debug, improve, and complete technical tasks efficiently.

Detailed project and client information will be shared only with shortlisted candidates.

Key Responsibilities

• Manage and troubleshoot websites and digital systems.
• Inspect and modify existing code when required.
• Build, test, and maintain automation workflows.
• Use ChatGPT, Claude, and other AI tools for coding, debugging, research, and documentation.
• Work with data, spreadsheets, dashboards, and reports.
• Test completed work and identify technical issues.
• Support integrations between different online platforms.
• Research solutions independently and implement them carefully.
• Maintain confidentiality regarding all company, client, and project information.

Required Skills

• Good understanding of WordPress, websites, and hosting.
• Basic to intermediate knowledge of HTML, CSS, JavaScript, PHP, or databases.
• Experience with automation tools, APIs, or webhooks is preferred.
• Strong ability to use ChatGPT, Claude, or similar AI tools productively.
• Good troubleshooting and problem-solving skills.
• Strong Excel or Google Sheets knowledge.
• Good written English and attention to detail.
• Ability to learn new systems quickly and handle multiple responsibilities.

Preferred Experience

2–4 years of experience in website development, technical operations, automation, AI-assisted development, or a related field.

Confidentiality

The selected candidate may be required to sign a confidentiality or non-disclosure agreement before receiving access to internal systems and project information.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bringing their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Our Core Value

• Client Success: Our clients’ success is our success
• Extreme Ownership: We own our work and its outcomes fully
• Proactive Collaboration: Teamwork elevates us all 
• Quality with Pragmatism: We aim for excellence with a focus on practical solutions
• Effective Feedback: Honest, constructive feedback fosters improvement
• Proactive Collaboration: Teamwork elevates us all

Experience Level

​We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results

Role Overview 

As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.

A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution

Key Responsibilities

• Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
• Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
• Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
• Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively

Requirements

What We're Looking For

• Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
• Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
• Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
• Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
• Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
• Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process

Benefits

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards that our customers recognize us by. With asynchronous tools and a push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description

Qualified applicants with experience in the following role or comparable job titles are encouraged to apply:

• Audio AI Engineer
• Speech AI Engineer
• Audio Software Engineer
• Speech Processing Engineer
• Audio Machine Learning Engineer
• Machine Learning Engineer – Speech
• AI Engineer – Audio
• Speech Processing Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• Speech Recognition Engineer
• ASR Engineer
• Automatic Speech Recognition Engineer
• Voice AI Engineer
• Speech Scientist
• Audio Research Engineer
• Audio Systems Engineer
• Audio Software Engineer
• Audio R&D Engineer
• Speech Research Engineer
• Audio DSP Engineer
• Voice Processing Engineer
• Acoustic AI Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• AI Engineer – Speech
• AI Engineer – Audio

Requirement:

a) Working on Design, Development, testing and deployment of different speech enhancement products using frameworks like PyTorch and TensorFlow.

b) Working on enhancing existing speech enhancement products w.r.t

performance, low latency and less computation.

c) Work on improvement of adapting the model to multi channels.

d) Should be self-motivated to learn and explore new areas and able to work independently and contribute

Experience

a) Good understanding of signal processing and machine learning.

b) Hands-on experience with Deep Learning techniques like CNNs, RNNs, LSTMs, Transformers, etc., for speech processing is essential.

c) Good understanding of: Linear algebra, Optimization techniques, Statistics and pattern recognition

d) Minimum 3 years of work experience in the Audio/Speech domain

e) Good programming skills in C/C++, Python, AI/ML frameworks.

Qualification

Bachelor's / Master’s Degree from AI/ML, CSE, ECE, or PhD

Principal Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 30 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3

Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4

Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5

Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6

Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

7

Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8

Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9

Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10

Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11

Mandatory (Age) - Candidate's Age should be below 37 years.

12

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13

Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14

Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15

Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 30 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Looking for an internship where you'll work on real products?

At Ungrammary, you'll contribute to live product design projects from day one, working alongside designers building products used by millions. We are an award-winning UX/UI design agency, known for fintech, SaaS, health tech, consumer, and enterprise products. Trusted by 100+ global brands including Adobe, Kotak, Brooks, VMware, Fossil, and many more!

✨ What you'll do

• Design user flows, wireframes, and high-fidelity UI

• Contribute to real product design projects

• Learn and apply design systems

• Understand interaction design and user behaviour

• Collaborate with designers and cross-functional teams

🔍 We're looking for

• Strong visual design and UX fundamentals

• Proficiency in Figma

• Curiosity, initiative, and a willingness to learn

• A portfolio (student projects are welcome)

🌱 What you'll get

🎯 Work with teams serving clients who value design

💫 Strengthen decision making through hands-on projects

✨ Build a portfolio with measurable impact

💼 Potential full-time role at Ungrammary upon completion

→ Remote-first team (India)

📌 Full-time internship

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.

Key Responsibilities

• Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
• Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI/ML models into existing applications and APIs.
• Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
• Collaborate with data engineers to ensure high-quality training data.
• Monitor model performance in production and implement retraining strategies.
• Research and evaluate emerging AI frameworks, tools, and technologies.
• Document models, experiments, and technical decisions.
• 
  

Required Skills & Experience

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
• Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
• Experience deploying models using FastAPI or Flask (REST APIs).
• Strong understanding of Data Structures, Algorithms, and Statistics.
• Experience with AWS, Azure, or GCP and MLOps tools.
• Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are looking for Senior AI Engineers with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows.

You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.

What is this position about?

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.

Qualifications

• 4+ years of experience in building and deploying AI/ML or GenAI solutions in production environments.
• Strong experience with at least one major cloud platform (Azure, AWS, or GCP) for building and deploying AI/ML solutions.
• Experience with services such as Azure ML, AWS Bedrock/SageMaker, GCP Vertex AI, Databricks, or equivalent AI/ML platforms is preferred.
• Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Hands-on experience with RAG architecture, prompt engineering, and LLM-based application development.
• Experience with MLOps/LLMOps pipelines, model tracking, observability, and CI/CD using tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, MLflow, or equivalent platforms.
• Familiarity with enterprise data integration and orchestration tools such as Azure Data Factory, Synapse, Databricks, Airflow, Kafka, or equivalent distributed data platforms.
• Strong backend engineering and API development experience using FastAPI, Flask, Node.js, or similar frameworks, with ability to build scalable AI-powered services and microservices.
• Excellent problem-solving, debugging, and collaboration skills.

Good to Have

• Experience building production-grade RAG systems using vector databases such as Pinecone, FAISS, ChromaDB, pgvector, Milvus, or Azure AI Search.
• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, MCP, or Google ADK.
• Familiarity with AI observability and evaluation tools such as LangSmith, Langfuse, RAGAS, MLflow, App Insights, or Prometheus/Grafana.
• Experience deploying AI systems using Docker, Kubernetes, serverless architectures, or container orchestration platforms.

Additional Information

• Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. 
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
• Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
• Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
• Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.