687 Artificial Intelligence (AI) Jobs in India

ou will work closely with AI engineers, product teams, and domain experts to build intelligent document processing and knowledge automation solutions. Responsibilities include:

• Develop AI-powered document ingestion and processing pipelines.
• Build knowledge extraction engines using NLP, Machine Learning, and Generative AI.
• Develop document-to-knowledge compilers that transform PDFs, Word documents, policies, regulations, and manuals into structured knowledge.
• Build AI agents and Agentic AI workflows for enterprise automation.
• Develop rule extraction and rule generation frameworks from business documents.
• Create semantic search and enterprise knowledge retrieval solutions.
• Develop backend APIs and AI services using Python.
• Design and optimize document processing pipelines for scalability and performance.
• Build and maintain MySQL databases for knowledge repositories and AI applications.
• Integrate LLMs from providers such as OpenAI, Azure OpenAI, Gemini, Claude, and open-source ecosystems.
• Collaborate with cross-functional teams to design scalable AI architectures.
• Participate in code reviews and follow software engineering best practices.
• Continuously evaluate and adopt emerging AI and GenAI technologies.

REQUIRED SKILLS — PROGRAMMING & DEVELOPMENT

• Strong proficiency in Python and a solid understanding of Object-Oriented Programming (OOP).
• Experience building REST APIs and backend services.
• Experience working with JSON, XML, and structured data formats.
• Knowledge of software design patterns and scalable architecture.
• Strong debugging, analytical, and problem-solving skills.

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

• Strong understanding of Machine Learning concepts and algorithms.
• Experience with Natural Language Processing (NLP) and Generative AI solutions.
• Hands-on experience with Large Language Models (LLMs).
• Understanding of prompt engineering techniques.
• Knowledge of Agentic AI concepts and AI agent architectures.
• Experience developing AI-powered applications and workflows.

TECHNOLOGY STACK

AI & GenAI: Python · OpenAI · Azure OpenAI · Hugging Face · Agentic AI Frameworks · LLMs · NLP · Machine Learning

Knowledge Systems: ChromaDB · Pinecone · FAISS · Vector Databases · Semantic Search

Document Processing: Docling · OCR · PDF Processing · Apache Tika · Document Intelligence

Backend: Python · FastAPI · Flask · REST APIs

Database: MySQL

Tools & Technologies: Git · Docker · JSON · CI/CD · Azure / AWS / GCP

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades. Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a Senior Software Engineer - Frontend with strong ReactJS expertise and an AI-first mindset to build scalable, high-performance and AI-powered experiences for Amura’s digital health platform.

You will work closely with Product, Design, Backend and AI teams to build modern, usercentric products in a fast-moving environment.

Key Responsibilities

•  Build scalable, responsive and high-performance web applications using ReactJS, JavaScript and TypeScript.

•  Develop reusable frontend components and translate Figma designs into production-ready experiences.

•  Integrate REST APIs and AI/LLM-powered capabilities into frontend applications.

•  Build frontend experiences for AI-native use cases such as conversational workflows, intelligent recommendations, search and automation.

•  Use AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf or similar for coding, debugging, testing and documentation.

•  Evaluate AI-generated code and ensure it meets standards for quality, security, performance and maintainability.

•  Optimize frontend performance, Core Web Vitals, rendering and bundle size.

•  Write tests, participate in code reviews and contribute to frontend architecture and engineering best practices. .

What We’re Looking For Required Skills:

•  4 to 6 years of professional frontend development experience. •  Strong proficiency in ReactJS, JavaScript and TypeScript.

•  Strong understanding of React Hooks, functional components, component architecture and state management.

•  Experience with REST APIs, responsive design and frontend performance optimization.

•  Experience translating Figma designs into production-ready UI. •  Hands-on experience with AI-assisted development tools. •  Familiarity with integrating LLM/AI APIs into applications.

•  Strong problem-solving and analytical skills. Engineering & AI Expectations

•  Strong understanding of browser rendering, Core Web Vitals and accessibility.

•  Experience with lazy loading, code splitting, caching and bundle optimization.

•  Experience with Next.js and frontend testing frameworks such as Jest, React Testing Library or Playwright is a plus.

•  Experience building AI-powered or AI-native applications is a plus. •  Familiarity with LLMs, RAG, embeddings, tool calling or AI agents is an advantage.

•  Strong ownership, product thinking and ability to work in a fast-paced 0→1 environment.

•  Curious about emerging AI technologies and able to use AI as a development multiplier while maintaining strong engineering judgment.

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery) Work Model Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

For better insights: https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing 

Job Description

Who are we?

Interestingly, in our own corner of the world, a hardworking team bent on hyper-excellence has quietly built a new way of medicine, a platform built on science, story, and soul.

Think of Amura as a "hospital on the cloud." We help people achieve the best standard of health they possibly can, taking full responsibility for their journey. We're a team of curious, ambitious individuals across all fields of work. Here, Doctors work alongside health coaches, designers, engineers, writers, and even filmmakers.

A cloud can reach anywhere and so can we. Our patients are from all over the world, and we are changing lives globally from your new home in Chennai. Over the last 8 years we have helped tens of thousands of people live better lives across 45 countries. 

Role Overview

We are looking for a hands-on Senior Software Engineer - Mobile to build and scale high-quality mobile experiences at Amura Health.

You will work primarily with React Native across both Android and iOS, partnering closely with Product, Design and Backend teams to build reliable, performant and user-friendly applications.

This role is ideal for an engineer who takes ownership, solves problems independently and uses AI-assisted development to build, test, debug and ship software faster without compromising engineering quality. 

What you'll do :

● Build, enhance and maintain React Native applications for both Android and iOS.

● Build features involving APIs, real-time updates, chat, notifications, local storage and data synchronisation.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Work closely with Product, Design and Backend teams to translate requirements into simple, effective mobile experiences. 

● Diagnose and resolve performance issues, crashes, bugs and production problems.

● Implement secure handling of user data, authentication and API communication.

● Write unit, integration and UI tests and contribute to reliable release processes.

● Own features end-to-end, from understanding requirements and development through testing, release and iteration.

● Use AI coding tools to accelerate development, debugging, testing, code reviews and technical problem-solving.

● Proactively identify technical challenges and recommend practical solutions. 

What We're Looking For :

● 5 to 6 years of hands-on mobile application development experience.

● Strong professional experience with React Native and TypeScript.

● Mandatory: Experience building and maintaining applications for both Android and iOS.

● Strong understanding of React Native architecture, mobile app lifecycle, state management, API integration and performance optimisation.

● Experience working with REST APIs, authentication, local storage, push notifications and asynchronous data flows.

● Experience debugging and resolving Android/iOS-specific issues and production bugs.

● Good understanding of mobile security, data handling and secure API communication.

● Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot or similar to improve engineering productivity.

● Strong problem-solving skills with the ability to independently own and deliver features.

● Good product thinking and attention to detail. 

Good to Have :

● Experience with chat, voice, video or real-time communication features.

● Experience building AI-powered mobile experiences or integrating AI/LLM-based features.

● Experience with mobile analytics, crash monitoring and performance monitoring.

● Familiarity with CI/CD and automated mobile releases.

● Experience working on healthtech, consumer apps or products handling sensitive user data. 

Job Title : Full-Stack AI Product Engineer

Experience : 3+ Years

Work Mode : Remote

Time Zone : IST

Engagement Type : Freelance

Availability : Must be comfortable attending US client calls during IST night hours.

Role Overview :

We are looking for a Full-Stack AI Product Engineer with hands-on experience building and deploying production-ready AI-powered applications. The ideal candidate should have strong Python backend development skills, practical expertise in LLMs, AI agents, RAG pipelines and tool calling, along with basic frontend development knowledge.

Mandatory Skills :

Python, FastAPI, AI / LLMs, AI Agents, RAG, Tool Calling, PostgreSQL, Redis, Docker, GCP / Cloud Run, CI/CD, Basic React.js / Next.js.

Key Responsibilities :

• Design, develop and maintain AI-powered products using Python and FastAPI.
• Build and integrate LLM-based applications, AI agents, RAG pipelines and tool-calling workflows.
• Develop scalable backend services and REST APIs.
• Work with PostgreSQL and Redis for data storage, caching and performance optimization.
• Containerize applications using Docker and deploy services on GCP, preferably Cloud Run.
• Implement CI/CD pipelines and follow production deployment best practices.
• Develop and integrate basic frontend features using React.js or Next.js.
• Troubleshoot production issues, optimize performance and ensure application reliability.
• Collaborate with US-based clients and stakeholders during IST night hours when required.

Required Skills :

• 3+ years of relevant software development experience.
• Strong proficiency in Python and FastAPI.
• Hands-on experience with AI / LLMs and production-level AI product development.
• Practical experience building AI agents, RAG pipelines and tool / function-calling workflows.
• Good knowledge of PostgreSQL and Redis.
• Experience with Docker, GCP / Cloud Run and CI/CD pipelines.
• Basic working knowledge of React.js or Next.js.
• Understanding of REST APIs, application architecture, deployment and production debugging.
• Excellent problem-solving and communication skills.

Preferred Qualifications :

• Experience deploying and maintaining AI applications in production.
• Familiarity with LLM orchestration frameworks and vector databases.
• Experience with cloud-native application development and monitoring.

Important Requirements :

• Must have demonstrable, hands-on experience delivering production-grade AI products.
• Must be comfortable working remotely and coordinating with US clients during IST night hours.

Designation: AI Adoption specialist/AI Consultant

Location: Ahmedabad

Work Timings: Primarily Normal Shift (Flexible to support US clients)

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

 Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.

 Assess client requirements and prepare solution strategies using AI tools and methodologies.

 Work with internal teams to design, propose, and help execute AI-powered solutions.

 Provide AI-based recommendations that align with the client’s business objectives.

 Communicate technical possibilities in a business-friendly manner to decision-makers.

 Take ownership of the client journey from discovery to implementation and support.

 Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:  Minimum 2+ Years of hands on experience into Custom AI Development.  Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.  Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologis).  Some hands-on experience in AI projects – either through execution, coordination, or implementation.  Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.  Flexible to work with international clients, especially in the US time zone as needed.

About Juicelabs

Where creative engineering meets applied AI.

We build vertical, AI-native tools that unlock fresh insights and creative superpowers for clients in advertising, ecommerce, and beyond. We're a nimble team of founders and builders obsessed with using AI to solve real problems in ways that didn't exist eighteen months ago.

The Opportunity

A year ago, we would have posted this as a backend role. That role doesn't really exist any more.

Code has become nearly invisible. Agents write it, test it, and iterate on it faster than anyone could read it. What's left is the work above it: deciding what's worth building, designing systems that hold up at 10x, and building the setup that turns a clear spec into working software.

That's the job. At your level, it isn't one system. It's several workstreams, running at once.

You'll work directly with our Cofounder/CTO on products going from zero to one, with AI at the core of both what we build and how we build it. Real ownership, real scope, and an unusual amount of leverage: one engineer with good judgment and a well-tuned agent setup now ships what a small team used to.

What you'll do

• Own multiple workstreams in parallel. Two or three features of the same product moving at once, each with its own scope, edge cases, and failure modes. You decide where your attention goes this week, and nothing goes stale.
• Run a fleet, not a single agent. Design the setup that makes high-throughput work possible: how work gets broken down, specced, and run across many agents at once, so output scales without things breaking.
• Design the system. Service boundaries, data models, failure modes. Make the architectural calls before a line gets generated, and be able to explain the trade-off six months later.
• Write the spec. PRDs and technical designs are the new source code. A vague spec produces confidently wrong software, fast. Scope, edge cases, non-goals, what "done" means.
• Own it end to end. Ideation → design → build → deploy → monitor → iterate, including functional UX. Nobody hands you tickets.
• Set the workflow. Bring your harness: CLAUDE.md, AGENTS.md, subagents, custom commands, eval loops — whatever makes agents reliable rather than merely impressive. We want to steal your good ideas.

What we're looking for

• High agency. You see the gap and close it. You don't wait for direction, and you don't need to be chased for follow-through. This is the single trait we screen hardest for. And you can do it across several workstreams at once, without dropping threads.
• Real system design depth. You can reason about consistency, caching, queues, and scale — and about complexity, because you need to know when an elegant-looking solution is quietly quadratic. LeetCode ninja not required. Being able to explain why this won't blow up at 10x, very much required.
• Clear thinking, put to paper. You get the thinking straight first, then write it down so nobody has to guess: PRDs, design docs, PR comments. Writing is most of how you'll direct both humans and models, and muddy thinking on paper becomes muddy software.
• You've shipped to production. Deployed things, monitored them, been paged by them, fixed them. Docker, CI/CD, cloud infra. Our stack is mostly Python (FastAPI), Postgres, GCP/AWS — but we care more about how you think than which framework you've memorised.
• You orchestrate AI, not just use it. Not "I've tried Copilot," and not just "I use Claude Code." You've run multiple agents in parallel and developed opinions: how to split work so they don't step on each other, where they excel, where they confidently lie, how you structure a repo so they don't wander, and how you verify what comes back at volume.
• Startup energy. Multiple hats, fast cycles, and the judgment to balance "ship it now" against "will this survive contact with real users?"

Experience

3–6 years of professional experience (full-time positions, excluding internships).

Location / How to apply

On-site at our office in HSR Layout, Bangalore.

Apply through this posting, or email us with a link to the best thing you've built.

Job Overview

We are looking for an experienced AI/ML Engineer with strong full-stack development skills to design, develop, and deploy AI-powered applications. The ideal candidate should be proficient in Python backend development, frontend technologies, and LLM integration, with the ability to build end-to-end AI-native products, custom dashboards, and lightweight applications.

This role focuses on applying AI to real-world business problems through rapid prototyping, prompt engineering, Retrieval-Augmented Generation (RAG), and scalable application development.

Key Responsibilities

• Design, develop, and deploy end-to-end AI-powered applications.
• Build backend services and REST APIs using Python.
• Develop responsive frontends using React, Next.js, or similar frameworks.
• Integrate LLM APIs such as OpenAI, Claude, and Hugging Face into production applications.
• Build custom dashboards, internal tools, micro-apps, and AI-driven business solutions.
• Implement prompt engineering, embeddings, RAG pipelines, and context-aware AI systems.
• Rapidly prototype and validate ideas using modern AI-assisted development workflows.
• Optimize application performance, scalability, reliability, and AI usage costs.
• Work with data processing libraries such as Pandas and NumPy.
• Collaborate with product and business teams to translate requirements into functional AI solutions.
• Take ownership of features from ideation and development through testing, deployment, and production support.

Required Skills & Qualifications

• 2+ years of experience in software engineering, AI engineering, or application development.
• Strong proficiency in Python and backend development.
• Hands-on experience with React, Next.js, or similar frontend technologies.
• Practical experience integrating LLM APIs such as OpenAI, Claude, or Hugging Face.
• Understanding of REST APIs, microservices, and system design principles.
• Knowledge of prompt engineering, embeddings, and RAG architectures.
• Experience with data processing using Pandas and NumPy.
• Ability to independently build, test, and deploy full-stack applications.
• Strong problem-solving, debugging, and analytical skills.
• Ability to work in a fast-paced environment with a strong ownership mindset.

Good to Have

• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Familiarity with vector databases such as Pinecone, Weaviate, or Supabase.
• Experience building AI chat interfaces, copilots, assistants, and custom dashboards.
• Familiarity with cloud platforms, application deployment, and production monitoring.
• Experience with AI-assisted coding tools and rapid prototyping workflows.

What We Are Looking For

• A full-stack AI engineer who is comfortable working across both backend and frontend development.
• Someone focused on building practical AI-powered products rather than only training machine learning models.
• A developer who can prototype quickly, validate ideas, and iterate efficiently using a “vibe coding” approach.
• A self-driven professional who can take ownership of a feature from concept to production.

Please note that this job is only for Ahmedabad location.

Location: Nikol, Ahmedabad, Gujarat

Work Mode: Work From Office

We are looking for an Angular Developer who can understand product problems, work with partial requirements, use AI coding tools effectively, and take ownership of delivery.

This is a frontend-focused role, but you must have a good understanding of how the complete application works - frontend, APIs, backend, authentication, data flow, and production behaviour.

What We Need

• Good knowledge of Angular, TypeScript, JavaScript, Bootstrap 5, HTML and CSS
• Understanding of components, services, forms, routing and RxJS
• Experience with REST APIs / WebSockets
• Good understanding of frontend-to-backend flow
• Ability to identify whether an issue is frontend, API, backend, or data related
• Good debugging and problem-solving skills
• Ability to understand an existing codebase quickly
• Responsive and reusable UI development
• Git and deployment workflow knowledge
• Ability to test your own work before sending it to QA

AI-Enabled Development

We actively use AI coding tools such as Claude Code and provide the required subscriptions.

You should know how to use AI for:

• Understanding requirements
• Research
• Understanding existing code
• Technical planning
• Creating documentation
• Preparing feature/user flows
• Creating prototypes or proof of concepts
• Implementation
• Debugging
• Testing
• Code review

We do not want someone who only gives prompts to AI and waits for the answer.

You should be able to:

• Give proper context to AI
• Break problems into smaller tasks
• Validate AI-generated code
• Identify wrong assumptions
• Improve generated solutions
• Work on multiple activities in parallel
• Keep execution moving while AI tools are working

Problem-to-Execution Mindset

In our product team, requirements will not always come as a fully prepared task.

Sometimes you may receive only:

• A customer problem
• A business requirement
• A rough idea
• Partial clarity
• An expected outcome
• 
  

Your responsibility is to help convert that into something executable.

You should be able to:

Understand → Research → Ask Questions → Create Flow → Document → Prototype if Needed → Implement → Test → Verify

We are looking for people who can gradually prepare the solution, not only execute a ready-made task.

Product & Ownership Mindset

We are a product-based company.

You should understand:

• Why a feature is required
• What problem it solves
• How customers will use it
• What backend/API dependencies exist
• Edge cases and failure states
• Production impact

You should take responsibility for the complete outcome of your work.

Expected ownership:

Requirement → Planning → Implementation → Testing → Deployment → Verification → Documentation

Our culture is focused on ownership and outcomes, not simply completing assigned hours.

Flexibility & Delivery

You should be comfortable with:

• Changing priorities
• Working across different modules
• Urgent product requirements
• Learning unfamiliar technologies
• Supporting production fixes when needed
• Delivering some requirements within short timelines
• Taking responsibility for the final result

Future Scope - Agentic AI

Our future direction includes building more AI agents and automated product workflows.

Deep experience is not mandatory today, but you should be willing to learn:

• LLM APIs
• Tool calling
• MCP
• AI agents
• Agent workflows
• Automated operations

What We Value Most



• Strong fundamentals
• Learning speed
• Problem-solving ability
• Effective AI usage
• Product understanding
• Backend/API awareness
• Parallel execution
• Flexibility
• Quality
• Ownership
• Ability to grow into a Feature Owner / Product Owner

This role may not be suitable for candidates who expect fully prepared tasks, step-by-step instructions, or continuous dependency on senior developers.

Tealbox Digital · Gurgaon · Hybrid, 3 days a week · 5–10 years' experience

₹20–26 lakh fixed + up to 20% variable

Please fill the form to apply: https://forms.gle/zi11r958i7hjneRQA

The bet we're making

Most of what a media buyer does today - building campaigns, structuring accounts, reading reports, spotting the obvious optimisation - is going to be absorbed by AI. Not in five years. Now.

If that's right, the scarce skill in an agency stops being platform expertise. It becomes two things. Knowing what to point the systems at. And being the person a client actually trusts.

We're hiring for that role. You'd own a portfolio of client businesses. You'd run them through an AI layer we're building. You'd be the human accountable for what comes out. Not an account manager who uses AI. Someone whose job is to get far more done per person than the industry thinks possible.

About Tealbox

We're a paid media agency for B2B SaaS and DTC brands, on Meta, Google and YouTube. Accounts run from ₹5 lakh to ₹5 crore a month in ad spend. Small team, serious about the craft. We're working out what an agency should be once the execution gets automated.

What you'd own

• The portfolio. A book of client businesses, end to end. Measured on whether clients stay and grow and on the portfolio's margin - not on what you shipped.
• The client relationship. You're the person they call. You bring a point of view they didn't ask for. You tell them the truth when it's inconvenient. You say no when no is right.
• Quality control at scale. The hard part. Twenty accounts of AI-generated analysis means twenty accounts of plausible-looking output. Some of it is wrong. All of it is spending someone's money. You're the check.
• The AI layer, applied. We build the systems. You decide how they're used on each account. You spot where they're working and where they're producing confident nonsense. You tell us what to build next.
• A small pod. A couple of people plus the systems. You coach them and set how the pod works.

Who we're looking for

Five to ten years in account management, client servicing, performance marketing or growth. We care more about the shape of your judgment than the label on your CV.

• Business judgment. You see what actually drives a client's business. When you see a number, you have an instinct for whether it's plausible before you check.
• Client trust. You've held senior relationships and kept them. You've challenged a client and been right.
• AI fluency you can show. Not "I use ChatGPT." You've changed how you work. You know where the tools break. You've built something other people now use.
• The scepticism to catch a wrong answer. You don't accept confident output because it's well formatted.

On advertising knowledge, read carefully. You need to read performance data with confidence. You need to hold your own with a media buyer. You need to be credible with a client about why performance moved. That's a real bar and we'll test it. You do not need to build campaigns yourself. We think the buying craft moves into the systems. What doesn't move is judgment about whether the output is any good. If you're a strong media buyer who wants to keep building campaigns, this job will frustrate you.

Compensation

Fixed: ₹20–26 lakh a year, depending on experience. Variable: up to 20% of fixed, paid twice a year. Three targets: client retention in your portfolio, portfolio margin, and accounts under management.

Why this is worth your time

• You'd be early on the thing everyone's about to do. Every agency will claim to be AI-native within two years. You'd have actually done it, with proof.
• Your output is your market value. If you can run twenty-five accounts where a peer runs six, you're worth several times that peer in the market. The variable is built to reflect that. This role makes you more valuable, not more locked in.
• Direct line to the founder building the system you use. Your feedback goes straight to the person building it.

The honest version

• The AI layer runs on a few accounts today. It's being expanded. Some of what you need will be ready when you join. Some won't. You'd shape it from real problems.
• The ramp is real. You start with five to eight accounts, not twenty. Twenty to thirty is where this goes within a year, if the systems deliver. That's the direction, not the starting line.
• Gurgaon-based, hybrid, three days a week in office; days agreed with Varun.
• We work to the outcome. When a client outcome, a launch or a live problem needs attention outside normal hours, we deal with it. That expectation grows with seniority. Three things come with it. Your manager owes you recovery time after a heavy stretch. Anything that causes repeated out-of-hours work gets fixed as a process problem, not absorbed. And nobody here measures commitment by response time at midnight.
• We're mid-repair. We're a founder-led business fixing how it manages people. You'd be joining during, not after.
• Nobody has done this job before. Including us.

How we'll hire

Four rounds, quick, and you'll know where you stand at every step.

1. Track record and business judgment: A conversation.
2. Assignment: A three-hour take-home exercise.
3. Client leadership: Assignment discussion and a live client role-play.
4. Values and ways of working: A two-way conversation.

If this sounds like the kind of challenge you’d enjoy, we’d love to hear from you.

Laravel Developer – Education ERP

Experience: 2 years

Work Mode: Permanent Work From Home

Job Summary

We are looking for an experienced Laravel Developer with strong expertise in Core PHP, Laravel, and MySQL to develop, maintain, and optimize scalable Education ERP applications.

Key Responsibilities

• Develop and maintain ERP modules such as HRMS, Admissions, Fees, Examinations, LMS, Inventory, and Finance.
• Write clean, secure, and efficient code using Laravel and Core PHP.
• Design and optimize MySQL databases, complex SQL queries, and bulk data processing.
• Develop and integrate REST APIs and third-party services.
• Troubleshoot bugs and optimize application performance.
• Collaborate with the team to deliver scalable and reliable ERP solutions.

Required Skills

• Strong knowledge of Laravel, Core PHP, and MySQL.
• Experience with MVC architecture, Eloquent ORM, CRUD operations, and REST APIs.
• Good understanding of SQL joins, database optimization, HTML, CSS, JavaScript, and jQuery.
• Familiarity with Git/GitHub and web application security.

Preferred Experience

• Experience developing Education ERP or university management software.
• Knowledge of HRMS, Fees, Admissions, Examinations, and LMS modules.
• Experience handling large datasets and enterprise applications.

 Hiring: SEO Executive (Night Shift)

📍 Location: Sector 63, Noida

⏰ Shift Timings: 8:00 PM to 5:00 AM (Mon–Fri)

Cab Facility : Provided ( One side )

💼 Job Type: Full-time | On-site

📅 Experience: 1–3 Years

Salary: Hike On Current

📌 Key Responsibilities

On-Page & Off-Page SEO: Keyword research, meta tags, content optimization, and link building.

Technical SEO: Conduct site audits, improve speed/indexing, fix crawl errors, and implement schema markup.

Analytics & Reporting: Track performance using Google Analytics, Google Search Console, Ahrefs, SEMrush, and Screaming Frog.

Competitor & Market Analysis: Monitor rankings, backlink profiles, and stay updated with search engine algorithm updates.

🎯 Requirements

Proven experience as an SEO Executive / Specialist.

Comfortable working fixed night shifts (8 PM - 5 AM).

Hands-on experience with standard SEO & Analytics tools.

Strong written & verbal English communication skills.

🎁 Perks: Night shift allowances + Fixed weekends off (Sat-Sun) + Excellent growth opportunity.

Role & Responsibilities

• Own end-to-end architecture, system design, development, and production deployment of scalable, AI-powered applications.
• Architect and develop high-performance backend services using Node.js, NestJS, TypeScript, Express.js, and Go.
• Design scalable web applications using React.js and Next.js, and cross-platform mobile applications using Flutter and Dart.
• Design distributed systems, microservices, event-driven architectures, and real-time applications capable of handling massive data volumes and high concurrent traffic.
• Design and optimize PostgreSQL/MySQL databases, MongoDB, Redis caching, database indexing, transactions, and query performance.
• Build real-time ride-booking, driver-allocation, location-tracking, and proximity-based matching systems using geospatial technologies such as PostGIS.
• Design and implement REST APIs, WebSockets, secure authentication, authorization, RBAC, and third-party integrations.
• Build and integrate Generative AI applications, LLM-powered chatbots, AI agents, RAG pipelines, embeddings, vector databases, tool calling, and intelligent automation workflows.
• Develop AI and backend services using Python and integrate LLM platforms such as OpenAI, Claude, and Gemini.
• Architect secure payment integrations, transaction workflows, webhook processing, idempotency, and payment reconciliation.
• Design and implement cloud-native infrastructure using AWS, Docker, CI/CD pipelines, and production monitoring tools.
• Ensure application security, scalability, reliability, performance, maintainability, and cost efficiency.
• Lead technical decision-making, code reviews, debugging, performance optimization, documentation, and mentoring of developers.
• Independently own critical engineering deliverables and drive products from concept and architecture through development, testing, deployment, and production support.

Preferred Candidate Profile

• 710+ years of software development experience, with substantial hands-on experience in technical architecture and production-grade application development.
• Expert-level proficiency in Node.js, NestJS, TypeScript, REST APIs, backend architecture, and microservices.
• Strong experience with React.js, Next.js, and modern frontend architecture.
• Hands-on experience with Flutter and Dart for Android and iOS application development.
• Proven experience designing scalable systems, handling large data volumes, concurrent workloads, and performance-critical applications.
• Strong experience with PostgreSQL, database design, indexing, query optimization, transactions, Redis, and geospatial systems.
• Practical experience building and deploying LLM-powered applications, AI agents, RAG systems, embeddings, vector search, and AI workflow automation.
• Proficiency in Python for AI integrations and backend services; Go language experience is highly desirable.
• Strong understanding of authentication, authorization, application security, payment integrations, and secure API design.
• Hands-on experience with AWS, Docker, CI/CD, Git, production deployments, logging, and monitoring.
• Familiarity with Kafka/RabbitMQ, Kubernetes, LangChain/LlamaIndex, and event-driven architectures is an advantage.
• Exceptional system-design, analytical, debugging, and problem-solving skills.
• Strong ownership, independent execution, technical leadership, communication, and mentoring abilities.
• Experience in startups or building products from scratch is highly desirable.

What We Expect

We are looking for a highly hands-on technical leader who can independently architect, design, develop, optimize, and deploy complex production systems. The ideal candidate must demonstrate genuine technical depth, strong engineering judgment, and the ability to lead end-to-end product development across backend, web, mobile, cloud, and AI technologies.

Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Experience: 9+ years

 Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM

Position Requirements:

• Program Strategy & Planning
• Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
• Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
• Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.

•          Program Execution & Delivery

• Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
• Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
• Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.

•          Technical Leadership & Influence

• Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
• Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
• Lead technical intake, prioritization and change control for program scope.

•          AI Programs & Governance

• AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
• Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
• Offshore reality: Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
• Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.

•          Stakeholder Management & Communication

• Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
• Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
• Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.

 •          Risk, Budget & Vendor Management

• Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
• Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
• Own vendor/third-party integration and delivery where applicable.

•          Process, Tools & Automation

• Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
• Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
• Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.

•          Measure Impact

• Define and track program success metrics and business outcomes; iterate to maximize value delivery.
• Ensure learnings are captured and operationalized for future programs.

Role & Responsibilities:

• 10+ years of program or technical project management experience delivering large-scale technical programs in fast-paced, matrixed organizations.
• Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
• Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
• Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
• Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
• Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
• Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
• Strong analytical and problem-solving skills; data-driven mindset.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Fluent English.

•          Preferred

• Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
• Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
• Experience managing program budgets and vendor/contract relationships.
• Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
• Prior experience mentoring PMs and leading PMO or program-level process change initiatives.

Campus Ambassador — OmniRush

We’re looking for students to introduce OmniRush to their college communities and help peers build with AI.

What you’ll do

• Share OmniRush through campus groups and short demos.
• Host hands-on sessions using materials we provide.
• Help students get started and share your own projects.

Who can apply

Students aged 18+ with an interest in AI, good communication skills, and initiative. College club experience is helpful but not required.

What you’ll get

• Higher daily AI allowances as your referrals become active users.
• Bronze, Silver, and Gold ambassador tiers and leaderboard recognition.
• Opportunities for standout projects to be featured.
• Slides, demo scripts, posters, and a personal invite link.

Commitment: Around 2–3 hours weekly, plus campus sessions.

Compensation: AI allowance boosts apply while active. Reward details will be announced before the cohort begins.

Starts: 27 October 2026 · 25 positions

Apply: omnirush.ai/ambassadors

Job Summary

The Data Scientist / Analyst Consultant will design, develop and deploy advanced analytics and AI/ML models to detect fraud, waste and abuse across the AB PM-JAY ecosystem. The role involves working with large volumes of claims, beneficiary, provider and transaction data, engineering fraud features, building and validating detection triggers, and converting model outputs into investigation-ready suspicious claims and cards. The Data Scientist will build triggers using advanced analytics techniques including NLP, OCR, Social Network Analysis and deep learning, support their validation with the National Anti-Fraud Unit (NAFU), and continuously improve model efficacy based on feedback and confirmed fraud outcomes.

Key Responsibilities

• Design, develop and deploy statistical and machine learning models for fraud, waste and abuse detection on scheme claims and card data.

• Perform advanced data analytics including clustering, classification, profiling, anomaly detection, predictive modelling, scoring, regression, link prediction, co-occurrence grouping, similarity matching and causal modelling.

• Develop fraud detection triggers using advanced analytics techniques such as NLP, OCR, Social Network Analysis and deep learning, and document trigger construct, logic and thresholds for review and approval.

• Apply both supervised and unsupervised learning approaches, training models on labelled historical fraud data and scheme ecosystem data.

• Conduct data profiling, quality assessment, cleaning, standardisation and feature engineering to create analysis-ready datasets.

• Execute triggers and models on claim and card data within defined turnaround timelines and generate case-level suspicious output with trigger reasons and evidence fields.

• Validate model outputs, assess false positive risk, calibrate thresholds and measure trigger efficacy against defined performance benchmarks. • Fine-tune and retrain models on the basis of subsequent events, reviewer feedback and confirmed fraud outcomes.

• Collaborate with medical experts, business analysts, subject matter experts and technology teams to translate domain knowledge and clinical rules into executable analytical logic.

• Prepare model documentation, trigger submission packs, dashboards and reports for internal review committees and client-facing evaluations. 

Preferred Skills

• Experience in healthcare analytics, health insurance claims analytics or fraud, waste and abuse detection.

• Experience in fraud analytics roles with a proven track record of developing and implementing fraud detection models and strategies.

• Knowledge of AB-PMJAY / health benefit packages / claims adjudication workflows.

• Exposure to Social Network Analysis, graph analytics or link analysis for collusion and network detection.

• Familiarity with OCR, image analytics and document forgery or duplication detection.

• Experience with model deployment, versioning and MLOps practices.

• Exposure to dashboarding and BI tools such as Power BI, Tableau or equivalent. 

Experience

• Minimum 5 years of experience in analytics and managing big data, out of which at least 3 years in developing AI/ML models.

• Demonstrable credentials of having worked on and developed AI/ML models independently.

• Experience in fraud analytics, anomaly detection or risk modelling will be preferred.

• Experience in healthcare, health insurance or government health scheme data will be an added advantage.

Location -Bangalore

Work Mode -Fully in-office, 6 days a week

Experience -3+ years in AI engineering, with LLM-based systems shipped to production

About the Role

● The AI Engineer will own systems that read, search and reason over project and tender documents.

● Inputs include large tender packages, scanned PDFs, BOQs, tables, forms and engineering drawings such as P&IDs.; Outputs should include accurate answers with source references, structured data and workflows used by estimators and project teams in live bids, planning, procurement and execution.

● The role covers taking features from initial experiments to production and owning their accuracy, latency and cost after release.

Key Responsibilities

Agents and Retrieval

● Build AI agents that plan and execute multi-step tasks using document search, tools and APIs.

● Build RAG pipelines covering ingestion, retrieval, reranking and answers with source references.

● Use agent workflows within retrieval to refine searches, collect supporting evidence and verify outputs.

Document Intelligence

● Build extraction pipelines for PDFs, scanned documents, tables and forms.

● Convert unstructured tender content into structured data that the platform can use.

Vision and Image Understanding

● Build image-understanding workflows for P&IDs;, including symbols, equipment, labels and connections.

● Locate and remove selected elements from diagram images while preserving surrounding content.

Quality and Reliability

● Create evaluation datasets and automated checks to measure accuracy and catch regressions.

● Debug failures across retrieval, agent decisions, tool calls and model outputs.

Product and Production

● Build backend services and REST APIs. ● Integrate AI features into the Workwise web application.

● Take features from experiment to production while managing reliability, latency and cost

Required Qualifications

● 3+ years of hands-on experience building AI systems, including at least one LLM-based application running in production.

● Strong Python and software engineering fundamentals.

● Experience with backend services, REST APIs, databases, authentication and frontend integration.

● Experience building applications using LLM APIs.

● Working knowledge of RAG, embeddings, retrieval and vector databases.

● Experience with tool calling, structured outputs and multi-step agent workflows.

● Working understanding of multimodal models and image processing for visual analysis and editing.

● Systematic evaluation skills: measuring results and investigating system failures.

● Ownership of implementation, testing, deployment and ongoing improvement.

Good to Have

● OCR, document layout analysis or complex table extraction.

● Computer vision experience, including object detection, segmentation or image inpainting.

● Familiarity with construction, procurement or tender documents.

● Cloud infrastructure and production monitoring.

● Working knowledge of Go. 

What You'll Actually Do

This is not a coordination role. You'll be inside ad accounts every day making decisions that directly impact client growth.

Campaign Strategy & Execution

• Build, launch, and manage Meta Ads and Google Ads campaigns end-to-end
• Manage ecommerce, lead generation, and conversion-focused campaigns
• Create scalable account structures across Meta and Google
• Set up audiences, placements, bidding strategies, budgets, and creative testing frameworks
• Plan and execute testing roadmaps for accounts under management

Optimization & Performance Management

• Monitor account performance daily
• Analyze CTR, CPM, CPC, CPA, ROAS, MER, Frequency, Conversion Rate, and other key metrics
• Identify winning opportunities and scale them profitably
• Diagnose performance drops and recommend corrective actions
• Manage budgets efficiently across multiple client accounts
• Continuously improve campaign performance through data-backed experimentation

Creative Strategy Collaboration

• Work closely with designers and content teams to develop high-performing creatives
• Translate performance insights into actionable creative briefs
• Analyze competitor ads, market trends, and consumer behavior
• Identify creative fatigue and recommend fresh testing angles
• Understand what makes winning ad creatives work and how to replicate success

Client Communication

This role is client-facing.

• Join weekly client review calls
• Present campaign performance confidently and clearly
• Explain strategies, results, and recommendations without jargon
• Respond professionally to client communications
• Manage expectations and proactively flag risks or opportunities
• Build trust through transparency and data-driven decision making

AI-First Workflow

At Kontrah Labs, AI is part of how we work.

You'll be expected to:

• Use ChatGPT, Claude, Gemini, or similar tools daily
• Use AI for research, reporting, copywriting, analysis, and ideation
• Build prompt workflows that improve efficiency and quality
• Use AI creative tools to accelerate testing and production
• Stay updated on emerging AI tools and bring useful ideas to the team

If a task can be completed better and faster with AI, we expect you to know how.

Must-Have Requirements

Experience

• 2–3 years of hands-on paid media experience
• Minimum 2 years of agency-side experience managing multiple client accounts
• Proven experience managing Meta Ads and Google Ads accounts independently
• Experience handling monthly ad spends across multiple accounts

Platform Expertise

• Strong expertise in Meta Ads Manager
• Strong expertise in Google Ads (Search, Shopping, Performance Max)
• Understanding of audience strategy, attribution, bidding, scaling, and conversion optimization
• Familiarity with GA4, Meta Pixel, Conversion API, and tracking fundamentals

Skills

• Strong communication and presentation skills
• Excellent problem-solving mindset
• Strong analytical thinking and decision-making ability
• Understanding of ad creatives and creative testing frameworks
• Comfortable interpreting data and translating it into action
• Good Google Sheets / Excel skills

AI Adoption

• Active daily user of AI tools such as ChatGPT, Claude, Midjourney, Gemini, Perplexity, or similar
• Able to demonstrate real AI workflows used in daily work

Nice to Have

• Experience working with D2C or ecommerce brands
• Experience with Shopify brands
• Familiarity with landing page optimization and CRO principles
• Exposure to creative strategy and copywriting
• Experience managing premium or high-AOV brands

Job Title: Java Lead Developer – Cucumber & AI

Experience: 12-15 Years

Required Skills: Java, Cucumber, AI

Job Description:

We are looking for a Java Lead Developer with strong experience in Java development, Cucumber-based testing, and at least 1 year of experience in AI. The candidate should have good technical and leadership skills, with the ability to guide the development team and ensure quality delivery.

Key Responsibilities:

Lead Java development activities and guide the team in designing and developing applications. Work with Cucumber for automated testing and BDD-based test scenarios. Contribute to AI-related development and implementation. Collaborate with QA and other teams to ensure application quality, performance, and timely delivery.

Mandatory Skills: Java, Cucumber, AI experience of at least 1 year.

Experience: 6+ years in Java development, with relevant Cucumber experience and 1 year of AI experience.

About Us: The Next Generation of WealthTech  

We're Cambridge Wealth, an award-winning force in mutual fund distribution and Fintech. We're not just moving money; we're redefining wealth management for everyone from retail investors to ultra-HNIs (including the NRI segment). Our brand is synonymous with excellence, backed by accolades from the BSE and top Mutual Fund houses.

If you thrive on building high-performance, scalable systems that drive real-world financial impact, you'll feel right at home. Join us in Pune to build the future of finance.

[Learn more: www.cambridgewealth.in]

The Role: Engineering Meets Team Meets Customer

We're looking for an experienced, hands-on Tech Catalyst to accelerate our product innovation. This isn't just a coding job; it's a chance to blend deep backend expertise with product strategy. You will be the engine driving rapid, data-driven product experiments, leveraging AI and Machine Learning to create smart, personalized financial solutions. You'll lead by example, mentoring a small, dedicated team and ensuring technical excellence and rapid deployment in the high-stakes financial domain.

Key Impact Areas: Ship Fast, Break Ground  

1. Backend & AI/ML Innovation  

• Rapid Prototyping: Design and execute quick, iterative experiments to validate new features and market hypotheses, moving from concept to production in days, not months.
• AI-Powered Features: Build scalable Python-based backend services that integrate AI/ML models to enhance customer profiling, portfolio recommendation, and risk analysis.
• System Architecture: Own the performance, stability, and scalability of our core fintech platform, implementing best practices in modern backend development.

2. Product Leadership & Execution  

• Agile Catalyst: Drive and optimize Agile sprints, ensuring clear technical milestones, efficient resource allocation, backlog grooming and maintaining a laser focus on preventing scope creep.
• Mentorship & Management: Provide technical guidance and mentorship to a team of developers, fostering a culture of high performance, code quality, and continuous learning.
• Domain Alignment: Translate complex financial requirements and market insights into precise, actionable technical specifications and seamless user stories.
• Problem Solver: Proactively identify and resolve technical and process bottlenecks, acting as the ultimate problem solver for the engineering and product teams.

3. Financial Domain Expertise  

• High-Value Delivery: Apply deep knowledge of the mutual fund and broader fintech landscape to inform product decisions, ensuring our solutions are compliant, competitive, and truly valuable to our clients.
• Risk & Security: Proactively architect solutions with security and financial risk management baked in from the ground up, protecting client data and assets.

Your Tech Stack & Experience  

The Must-Haves  

• Mindset: A verifiable track record as a proactive First Principle Problem Solver with an intense Passion to Ship production-ready features frequently.
• Startup Experience: Familiarity with the pace and intensity of a fast-iterating environment.
• Customer Empathy: Keeps the customer's experience in mind at all times.
• Team Leadership: Experience in leading, mentoring, or managing a small development team, driving technical excellence and project delivery.
• Systems Thinker: Diagnoses and solves problems by viewing the organization as an interconnected system to anticipate broad impacts and develop holistic, strategic solutions.
• Backend Powerhouse: 2+ years of professional experience with a strong focus on backend development.
• Python Guru: Expert proficiency in Python and related frameworks (e.g., Django, Flask) for building robust, scalable APIs and services.
• AI/ML Integration: Proven ability to leverage and integrate AI/ML models into production-level applications.
• Data Driven: Expert in SQL for complex data querying, analysis, and ETL processes.
• Financial Domain Acumen:Strong, demonstrable knowledge of financial products, especially mutual funds, wealth management, and key fintech metrics.

Nice-to-Haves  

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Zoho Analytics, Zoho CRM and Zoho Deluge
• Familiarity with modern data analysis tools and visualization platforms (e.g., Mixpanel, Tableau, or custom dashboard tools).
• Understanding of Mutual Fund, AIF, PMS operations

Ready to Own the Backend and Shape Finance?  

This is where your code meets the capital market. If you’re a Fintech-savvy Python expert ready to lead a team and build a scalable platform in Pune, we want to talk.

Apply now to join our award-winning, forward-thinking team.

Our High-Velocity Hiring Process:  

• You Apply & Engage: Quick application and a few insightful questions. (5 min)
• Online Tech Challenge: Prove your tech mettle. (90 min)
• People Sync: A focused call to understand if there is cultural and value alignment. (30 min)
• Deep Dive Technical Interview: Discuss architecture and projects with our senior engineers. (1 hour)
• Founder's Vision Interview: Meet the leadership and discuss your impact. (1 hour)
• Offer & Onboarding: Reference and BGV check follow the successful offer.

What are you building right now that you're most proud of?

This is a high-ownership, founder-facing GTM role.

You will be responsible for identifying, engaging and converting enterprise accounts and building a predictable pipeline for Pingbix.

You will work closely with the Founder, Product, Engineering and Customer Success teams to understand customer problems, create business cases, run POCs and convert them into long-term enterprise relationships.

This is not a role for someone who only wants to manage inbound leads.

We are looking for someone who can hunt, sell, build relationships and close.

What You'll Do

Enterprise Sales & New Business

• Identify and acquire enterprise customers across BFSI, fintech, D2C, consumer internet and other high-volume communication businesses.
• Build and manage your own enterprise pipeline.
• Prospect CXOs, founders, CTOs, CIOs, CMO/Head of Growth, Customer Experience and Digital leaders.
• Conduct discovery meetings and understand customer communication challenges.
• Position Pingbix across SMS, WhatsApp, RCS, Voice and AI-powered communication.
• Build business cases and ROI-led proposals.
• Drive POCs from discovery → solution → implementation → commercial closure.
• Own the sales cycle from first conversation to signed contract.
• Build long-term relationships with strategic accounts.

GTM & Market Development

• Identify new ICPs, industries and use cases for Pingbix.
• Develop account-based sales strategies for high-value prospects.
• Research competitors and understand the CPaaS, MarTech and AI communication landscape.
• Work with the Founder to develop new GTM plays.
• Build partnerships and channel opportunities where relevant.
• Help develop repeatable sales processes as the company scales.

Cross-functional Ownership

Work closely with:

• Founder & CEO
• Product
• Engineering
• Solutions / Pre-sales
• Customer Success
• Marketing

to ensure customer requirements are translated into successful deployments.

Junior PHP/Laravel Developer – Education ERP

Experience: 1.5–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

 Senior/Lead Full Stack Engineer – AI

Experience: 5+ Years

Location: Bengaluru / Hyderabad

Employment Type: Permanent

Preferred: Immediate Joiners

Key Skills

• React.js
• Python
• Generative AI (GenAI)

Job Description

We are looking for an experienced Senior/Lead Full Stack Engineer – AI with strong expertise in React.js, Python, and Generative AI. The candidate should have hands-on experience building scalable full-stack applications, developing backend APIs, and integrating AI/GenAI solutions into enterprise applications.

Interested candidates: Please share your updated resume, current CTC, expected CTC, and notice period.

Role Overview

We are looking for an experienced professional to evaluate AI-generated responses for conversational AI agents used in travel-related products. The role focuses on assessing response accuracy, relevance, completeness, and quality to improve AI performance.

Key Responsibilities

• Evaluate AI-generated responses against predefined guidelines and quality standards.
• Perform data annotation, labeling, classification, and quality reviews.
• Identify incorrect, misleading, irrelevant, or incomplete responses and potential AI hallucinations.
• Analyze evaluation data to identify recurring errors, quality gaps, and improvement opportunities.
• Track quality metrics, document findings, and recommend improvements.
• Use Excel/Google Sheets and basic SQL, where applicable, to analyze evaluation data.
• Collaborate with AI and Machine Learning teams to improve conversational AI performance.

Required Skills

• 5–8 years of experience in Data Annotation, AI Evaluation, Content Quality, Search Relevance, or Quality Assurance.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Experience applying evaluation guidelines and quality standards consistently.
• Proficiency in Excel or Google Sheets.
• Good written communication and documentation skills.
• Understanding of quality metrics and data analysis.

Good to Have

• Exposure to Generative AI, LLMs, conversational AI, or AI response evaluation.
• Experience with Human-in-the-Loop (HITL), AI training data validation, or hallucination detection.
• Basic SQL knowledge.
• Experience in travel, hospitality, or search quality evaluation.

Experience: 8 – 12 Years 

Location: Mumbai 

Role and Responsibilities: 

1. Responsible and accountable for all sales and service management functions ensuring that they are delivered in line with standard and operating model 

2. Provide leadership, ownership, and accountability for the developed application (supporting Sales & Service Delivery) and ensuring that the operating model is implemented and continually improved upon 

3. Develop, implement, monitor and report SLAs that are aligned to industry standards and best practices 

4. Responsible to drive integration amongst the teams from other support functions and sales for smooth delivery of accounts 

5. Responsible to coach the junior members of the teams. Provides guidance to resolve any issues in a time bound manner. Java Spring Boot: Spring Boot Data, Spring Boot Integration, Spring Boot Messaging, Spring Boot Web, Spring Boot Security, and Spring Boot AOP., MySQL, REST API, SOAP APIs, JavaScript, Angular, Tomcat, Drools, ELK, Docker, Kubernetes, MongoDBMobile Tech Lead React Native & Flutter, NodeJs Restful web services SQL and Databases HTML, CSS, JavaScriptUI UX Tech Lead HTML5, CSS3, Javascript, JQuery and Bootstrap to integrate and maintain front-end code. 

6. Responsive design principles and frameworks Web (W3), mobile and Google best practices/Standards cross browser/device testing and semantic markup Report Lead Power BI, Advanced Excel, Macros DevOps LeadDevOps engineer, Agile principles, Java, bash scripting, JBoss, Wildfly, tomcat, apache 

Must have: 

1. To develop, test and implement new software programs 

2. To ensure the software database is designed and updated 

3. To test and recommend software improvements 

4. To install, customize and integrate the commercial software packages independently 

5. Chatbot development 6. AI experience 

Job Description:

We are looking for an experienced Senior Full Stack Engineer with strong expertise in Java, Node.js, frontend technologies, AWS cloud services, and basic AI integration.

Required Skills:

• Java, Spring Boot, Node.js
• React / Angular / Vue.js
• REST APIs, SOA, Microservices
• AWS EC2, Lambda, EKS, CloudWatch
• AWS CDK, CloudFormation
• Docker, CI/CD
• MongoDB, AWS Architecture
• Basic experience with Amazon Bedrock / AI Integration

Important Requirements:

• 7–12 years of relevant experience.
• Must be currently based in Bangalore.
• Immediate joiners or candidates serving notice up to 25 days only.
• No relocation candidates.

Principal Software Engineer

Location: Bangalore India

Department: AI Engineering / Quality Assurance

Experience Level: Mid to Senior

We are looking for a highly motivated Senior AI Test / Automation Engineer to design and scale automated validation frameworks for AI/ML models, LLM-based applications, and agentic systems. This role is critical to ensure that AI solutions meet enterprise standards for quality, reliability, safety, and compliance before and after production deployment.

Key Responsibilities

• Build and maintain AI test automation frameworks for pre-qualification and continuous validation of models and agent workflows
• Develop comprehensive test suites, including:
• Unit, integration, and end-to-end (E2E)
• Functional, regression, performance, and safety testing
• Validate AI system behavior, including:
• Non-deterministic LLM outputs
• Hallucinations and edge cases
• Multi-step agent decision-making
• Design and manage evaluation systems:
• Golden datasets
• Benchmarking pipelines (accuracy, latency, reliability)
• Automate testing within CI/CD pipelines for model updates, prompt changes, and tool integrations
• Implement observability and telemetry to enable traceability, monitoring, and audit readiness
• Collaborate cross-functionally with ML, MLOps, Product, and Security teams to define quality gates and release criteria
• Track and report quality KPIs, including test coverage, defect leakage, and system reliability
• Drive root-cause analysis and continuous improvement across the AI testing lifecycle

Required Skills

Core Engineering

• Strong programming skills in Python; familiarity with Bash, TypeScript, or Go
• Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes)

AI / ML & Agentic Systems

• Hands-on experience with LLM ecosystems (OpenAI, Anthropic, Bedrock)
• Familiarity with:
• RAG architectures and vector databases (Pinecone, Weaviate)
• Agent frameworks (LangChain, LlamaIndex, AutoGen)

AI Testing Techniques

• Experience with non-deterministic testing approaches (statistical assertions, tolerance thresholds)
• Knowledge of evaluation methods:
• LLM-as-a-judge
• BLEU, ROUGE, semantic similarity scoring
• Experience with prompt and agent regression testing
• Understanding of AI safety testing, including adversarial testing, bias/fairness validation, and jailbreak detection

Tooling (Preferred)

• AI testing & observability tools: LangSmith, TruLens, Arize, Weights & Biases
• Evaluation tools: DeepEval, Ragas, PromptFoo, Giskard
• Monitoring: Prometheus, Grafana, OpenTelemetry

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and cross-functional collaboration
• Data-driven mindset with focus on quality KPIs
• Detail-oriented with a strong bias toward automation and scalability

Experience Requirements

• 7+ years in QA, SDET, or test automation engineering
• Proven experience building and scaling automation frameworks
• Hands-on experience with AI/ML systems or LLM-based applications
• Experience testing RAG pipelines or agentic workflows
• Owned end-to-end AI test strategy and architecture
• Defined quality metrics and release gates
• Delivered scalable validation pipelines for production AI systems
• Supported audit and compliance readiness

Preferred

• Experience in enterprise or regulated environments (SOC2, ISO 27001, etc.)
• Exposure to:
• Shift-left testing practices
• Production observability and monitoring
• Chaos or resilience testing

Senior-Level Differentiators

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Nice-to-have:

• ISTQB certification
• Cloud/ML certifications (AWS, Azure, GCP)
• AI testing certifications

What Success Looks Like

• AI systems that are accurate, reliable, and safe
• Fully automated test pipelines integrated into CI/CD
• Measurable improvements in defect leakage and model quality
• Strong observability and auditability across AI systems
• Scalable validation frameworks supporting rapid AI innovation

Hiring for AI Engineer

Exp: 6 - 12 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune / Mumbai

Skill Set:

Total experience ranging from 6–10 years in software engineering/AI roles

Min 5 years strong programming experience in Python or Typescript is a MUST

Min 2.5 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks

2+ years shipping LLM systems in production

Experience with cloud platforms (AWS/Azure/GCP)

Job Summary 

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

• Datadog (Expert)
• OpenTelemetry
• Distributed Tracing
• Application Performance Monitoring
• AI Ops
• LangGraph/CrewAI/AutoGen/Semantic Kernel
• Python
• Azure, AWS
• Kubernetes
• ServiceNow Integration
• 
  

Enterprise Observability Strategy

• Define observability standards, governance and operating model.
• Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
• 
  

Full Stack Observability Scope

• Applications, APIs, microservices and user journeys.
• Windows, Linux, VMware, storage and infrastructure platforms.
• Azure and AWS.
• Network monitoring, SQL and NoSQL databases.
• 
  

Datadog Platform

• Deploy and optimize Datadog solutions.
• Build dashboards, monitors, alerts and observability-as-code frameworks.
• Integrate Datadog with ServiceNow, Teams and enterprise tooling.
• New Relic exposure is optional.
• 
  

AI Ops Responsibilities

• Event correlation and noise reduction.
• Predictive analytics and anomaly detection.
• Incident intelligence and root cause analytics.
• Proactive issue identification and MTTR reduction

Role Overview:

As Product Designer at Marbles Health, you'll own the end-to-end design of our product experience from early strategy and user research through to final UI execution. This is a high-ownership role for someone who wants to influence not just how the product looks, but how it works and why.

This isn't a role for someone whose first instinct is only "I can make this look pretty." 

Before you read further, a few honest questions:

A user's health data flow feels confusing. What's your first move? 

❌ "I'll flag it to the PM and wait for direction."

 ✅ "I'll sit with the clinical logic until I understand why it's built this way, then propose what should change."

You're designing a screen explaining a brain-health metric to a non-technical user. Where do you start? 

❌ "I'll make it look clean and modern."

 ✅ "I'll figure out what the user is actually afraid of or confused about, then design for that first."

How do you use Claude or ChatGPT in your work? 

❌ "I use it for inspiration and copy." 

✅ "I use it to pressure-test flows, generate variants fast, and get from a rough idea to a testable prototype in hours, not days."

What does ownership look like to you? 

❌ "I hand off the Figma file and move to the next ticket." 

✅ "I stay close to it post-launch - funnel data, session recordings, A/B results - because shipping isn't the finish line."

If the "yeah!" answers sound like you, keep reading.

What You'll Do

• Lead UX strategy for key product areas - translating user needs, business goals, and clinical/health considerations into clear design direction.
• Design end-to-end user flows, wireframes, and high-fidelity UI for web and mobile experiences.
• Conduct and synthesize user research (interviews, usability testing, surveys) to validate design decisions.
• Build and maintain a scalable design system/component library in collaboration with engineering.
• Partner closely with Product Managers and Engineers from ideation through shipping — you're in the room for strategy, not just execution.
• Translate complex health information into simple, trustworthy, and accessible interfaces.
• Use data (funnel metrics, session recordings, A/B tests) to inform and iterate on designs post-launch.
• Present design rationale clearly to stakeholders, including non-design leadership.

What We're Looking For

• 2-5 years of experience as a Product Designer or UX/UI Designer, ideally in a consumer app, health tech, or fintech environment.
• A strong portfolio demonstrating both UX thinking (flows, research, problem-framing) and high-quality UI execution.
• Proficiency in Figma (or equivalent) and familiarity with prototyping tools.
• Experience designing for both web and mobile platforms.
• Comfort working with ambiguity - you can turn a loosely defined problem into a structured design process.
• Basic understanding of accessibility standards (WCAG), especially relevant in health products used by diverse populations.
• Strong communication skills, able to justify design decisions with reasoning, not just aesthetics.
• Bonus: prior experience in health tech, wellness, or a regulated/trust-sensitive consumer category.

Nice to Have

• Experience running or contributing to a formal design system.
• Familiarity with basic HTML/CSS (to collaborate more fluidly with engineering).
• Exposure to behavioral design principles (habit formation, nudges) relevant to health engagement.
• Motion design skills (micro-interactions, transitions, product animations).
• Experience creating print collaterals (brochures, packaging, in-clinic materials).
• An AI-forward mindset - curiosity about using AI tools in the design process and designing AI-native product experiences.

What Success Looks Like in the First 6 Months

• Ownership of at least one major product flow, redesigned or shipped based on user research.
• A functioning or improved design system adopted across the product.
• Established a lightweight, repeatable UX research process for the team.

If you want real ownership in health tech and are ready to dig into complexity most people avoid, we'd love to see your work.

To be considered, please also fill out this short form:

https://docs.google.com/forms/d/e/1FAIpQLSeyThzAf9zfkhJTyN_X7jbcSj0a7pNzzKF9LZMcZr_fRRPjUw/viewform?usp=header

Job Description: Senior Full Stack AI Engineer 

Position: Senior Full Stack AI Engineer ​

Experience: 6+ Years​

Location: Bangalore (preferred), Hyderabad​

Joining: Immediate 

About the Role 

We are looking for highly skilled Senior Full Stack AI Engineers who can independently 

design, build, and deploy AI-powered applications leveraging Large Language Models 

(LLMs). The ideal candidate should be equally comfortable working across the full stack, 

from developing scalable backend services and modern frontend applications to creating AI-

driven solutions and automated testing frameworks that enable developer-led quality 

engineering. 

This role requires hands-on expertise in LLM development, application architecture, and test 

automation, effectively helping organizations accelerate delivery while reducing dependency 

on traditional QA teams. 

Key Responsibilities 

∙Design, develop, and deploy AI-powered applications using Large Language Models 

(LLMs), with experience in Claude preferred. 

∙Architect and build scalable full stack applications using Java, Spring Boot, 

ReactJS, NextJS, TypeScript, and JavaScript. 

∙Develop intelligent workflows utilizing AI agents, prompt engineering, retrieval-

augmented generation (RAG), and model integrations. 

∙Create end-to-end automated test suites using Playwright, Perfecto, and other 

modern automation frameworks to support developer-led testing. 

∙Build and integrate RESTful APIs and microservices following modern architecture 

principles. 

∙Design and manage data solutions using SQL, NoSQL, and MongoDB. 

∙Develop event-driven applications using messaging platforms such as Kafka. 

∙Implement secure, scalable, and high-performance solutions using Spring Security, 

OAuth, and multi-threaded programming. 

∙Leverage AWS services including ECS, Lambda, and Step Functions to build cloud-

Job Summary

We are looking for an experienced GRC Technology & Transformation Lead to drive the delivery, implementation, and transformation of enterprise Governance, Risk, and Compliance (GRC) technology solutions. The role will partner with Risk, Compliance, Audit, and Technology stakeholders to modernize risk management processes through platform implementations, workflow automation, analytics, and AI-enabled solutions.

The ideal candidate will have a strong understanding of enterprise GRC frameworks, operational risk processes, and risk technology platforms, along with proven experience in technology delivery, stakeholder management, and large-scale transformation programmes.

Key Responsibilities

• Lead end-to-end delivery and transformation of enterprise GRC technology solutions supporting RCSA, Third-Party Risk Management (TPRM), Operational Risk, Controls, Compliance, and Corporate Risk functions.
• Drive implementation, configuration, enhancement, and optimization of enterprise risk technology platforms such as RSA Archer, ServiceNow GRC/IRM/TPRM, or equivalent platforms.
• Collaborate with Risk, Compliance, Internal Audit, and business stakeholders to understand requirements and translate them into scalable technology solutions.
• Define and execute technology roadmaps, platform strategies, and transformation initiatives aligned with enterprise risk and governance objectives.
• Lead workflow automation and process digitization initiatives to improve risk assessments, control monitoring, issue management, compliance tracking, and reporting.
• Identify opportunities to leverage AI/GenAI, analytics, and data-driven solutions to enhance risk management processes and operational efficiency.
• Oversee programme planning, delivery governance, resource management, risk mitigation, and continuous platform improvement.
• Manage global delivery teams and coordinate with business stakeholders, technology teams, system integrators, and external vendors.
• Establish delivery standards, performance metrics, governance mechanisms, and reporting frameworks to track programme outcomes.
• Ensure solutions align with enterprise architecture, information security, regulatory requirements, and internal governance standards.

Required Skills & Experience

• 12+ years of experience in technology delivery, enterprise GRC solutions, risk technology, or large-scale technology transformation.
• Strong understanding of Enterprise GRC, Operational Risk, RCSA, TPRM, controls management, compliance, and corporate risk processes.
• Experience with one or more enterprise risk technology platforms, such as:
• RSA Archer
• ServiceNow GRC / Integrated Risk Management (IRM) / TPRM
• Other enterprise GRC and risk management platforms
• Proven experience leading end-to-end technology implementations, platform enhancements, and transformation programmes.
• Strong understanding of workflow automation, process optimization, data management, analytics, and management reporting.
• Exposure to AI/GenAI-enabled solutions and automation initiatives is desirable.
• Excellent stakeholder management skills, with the ability to engage senior leaders across Risk, Compliance, Audit, and Technology.
• Experience managing cross-functional and global delivery teams, programme governance, and vendor relationships.
• Strong communication, problem-solving, strategic planning, and decision-making skills.

Preferred Qualifications

• Experience in banking, financial services, insurance, or other regulated industries.
• Exposure to regulatory risk management, audit management, controls testing, issue management, and enterprise risk reporting.
• Experience in GRC platform integration, data migration, reporting, and enterprise application modernization.
• Relevant certifications in RSA Archer, ServiceNow IRM/GRC, project/programme management, or risk management are an advantage.

Key Competencies

• Enterprise GRC Technology Strategy
• Technology Delivery & Programme Leadership
• Risk Platform Implementation and Optimization
• Stakeholder & Vendor Management
• Process Automation and Digital Transformation
• AI/GenAI and Analytics Enablement
• Global Team Leadership
• Governance, Controls and Continuous Improvement

Technical Product Manager – BFSI & AI

Location: New Delhi, India (On-site)

Employment Type: Full-time

Experience: 4–8 years

Industry: BFSI / FinTech / Enterprise AI / B2B SaaS

About QubeLabs

QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry.

Our platform combines Conversational AI, Agentic AI, workflow automation, proprietary language models and enterprise intelligence to improve enterprise efficiency, productivity and customer experience.

Our flagship product, QubeLabs Workmate, is purpose-built for banks, NBFCs, MFIs, wealth management firms, insurance companies and fintechs across India and Europe.

Role Overview

We are looking for a Technical Product Manager – BFSI & AI to translate complex financial-services workflows and customer problems into clear product requirements and scalable technology capabilities.

You will work closely with the founders, Head of AI, engineering and business teams to drive the complete product lifecycle—from customer discovery and requirements definition to development, testing, deployment and continuous improvement.

This is a high-ownership role for someone who combines an understanding of BFSI business processes with strong product thinking and the ability to collaborate effectively with technical teams.

Key Responsibilities

1. Product Management & Requirements

Define product requirements, roadmaps and feature priorities for QubeLabs Workmate.

Translate customer needs and business problems into PRDs, functional specifications, user stories and acceptance criteria.

Design user journeys, process flows, business rules and expected product behaviour, including edge cases and exceptions.

Prioritize features based on customer value, business impact, technical feasibility and strategic objectives.

Drive features from concept through development, testing, release and post-launch improvement.

2. BFSI Workflows & Customer Discovery

Develop a deep understanding of workflows across banking, wealth management, stock broking, insurance, NBFCs and financial advisory.

Engage with relationship managers, wealth advisors, operations teams, contact centres and business leaders to identify pain points and automation opportunities.

Translate financial-services processes into scalable product capabilities.

Support customer discovery, product demonstrations, pilots, POCs and validation of new features.

Incorporate customer feedback and market insights into product priorities and the roadmap.

3. AI Product Development

Understand the practical capabilities and limitations of Generative AI, LLMs, AI Agents, RAG, Voice AI and workflow automation.

Define requirements for AI assistants, intelligent agents and AI-powered business workflows.

Work with the Head of AI to translate model capabilities, technical dependencies and constraints into product specifications.

Define expected AI behaviour, business rules, exception handling and measurable business outcomes.

Identify where AI is appropriate versus deterministic workflows and conventional business logic.

Understand the capabilities of QubeLabs' proprietary Vectro Series language models and their application to BFSI use cases.

4. Product & Engineering Collaboration

Work with AI and engineering teams to clarify requirements, assess feasibility and resolve implementation challenges.

Understand APIs, integrations, data flows, system dependencies and enterprise technology environments.

Participate in sprint planning, technical discussions, product reviews and architecture reviews where relevant.

Validate delivered features against requirements and lead functional and user acceptance testing.

Identify delivery risks, technical trade-offs and dependencies to ensure timely, high-quality releases.

Prototype or validate product concepts when required.

5. Product Strategy & Market Intelligence

Identify new product opportunities across financial services.

Evaluate customer needs, competitive products and emerging AI capabilities.

Develop industry-specific use cases and product propositions.

Collaborate with leadership to align product investments with customer demand, business objectives and long-term product strategy.

Experience & Qualifications

4–8 years of experience in Product Management, Business Analysis, BFSI Technology, FinTech or enterprise software.

Mandatory experience in BFSI, FinTech or financial-services technology.

Experience with enterprise products and collaboration with engineering or technology teams.

Working knowledge of at least one financial-services domain, such as banking, wealth management, stock broking, capital markets, insurance, NBFCs or financial advisory.

Experience in customer discovery, requirements gathering and product documentation.

Exposure to AI/Generative AI products is preferred but not mandatory.

Bachelor's degree from a recognized university; an MBA or equivalent qualification in product management or business is preferred.

Required Skills

Product Management

Requirements gathering, PRDs and functional specifications.

User stories, acceptance criteria and workflow design.

Roadmapping, prioritization and product lifecycle management.

Customer discovery, stakeholder management and product validation.

BFSI Domain Knowledge

Understanding of financial-services workflows, business processes and enterprise requirements.

Ability to engage with business users and translate operational challenges into technology solutions.

Technical Understanding

Working knowledge of AI/Generative AI, LLMs, AI Agents, RAG and Conversational AI.

Understanding of APIs, system integrations, data flows and cloud-based enterprise applications.

Ability to collaborate with AI and engineering teams on technical feasibility, dependencies and implementation trade-offs.

You do not need to be an AI engineer, but you must be comfortable understanding technical concepts and translating them into practical product requirements.

What Success Looks Like

Clear, implementation-ready product requirements and specifications.

Timely delivery of prioritized product features and roadmap milestones.

Successful launch and adoption of high-value AI-powered BFSI workflows.

Effective support for enterprise pilots, POCs and customer validation.

Strong alignment between customer needs, product priorities, AI capabilities and engineering execution.

Measurable improvements in customer productivity, operational efficiency and product engagement.

Why Join QubeLabs?

Build next-generation Enterprise AI Systems for financial services.

Work directly with founders and senior leadership in a high-ownership role.

Shape AI-powered products across banking, wealth management, brokerage and insurance.

Work at the intersection of BFSI, AI, enterprise intelligence and workflow automation.

Collaborate with teams developing QubeLabs' proprietary Vectro Series language models.

Contribute to enterprise markets across India and Europe.

Equal Opportunity

QubeLabs is an equal opportunity employer

committed to building a diverse and inclusive workplace where innovation thrives.

About the Role

We are looking for a Junior React Native Developer with 1–2 years of hands-on experience in developing mobile applications using React Native for both Android and iOS platforms.

The ideal candidate should have strong fundamentals in React Native and JavaScript/TypeScript, along with exposure to AI/ML technologies and AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or similar tools.

This is a Junior-level role for someone who is eager to build mobile applications, learn new technologies, and work on AI-enabled features.

Key Responsibilities

• Develop, maintain, and enhance cross-platform mobile applications using React Native.
• Build and support applications for both Android and iOS platforms.
• Develop reusable, scalable, and user-friendly mobile UI components.
• Integrate REST APIs, third-party APIs, SDKs, and backend services.
• Debug and troubleshoot applications across Android and iOS devices.
• Assist with application testing, performance optimization, and bug fixing.
• Assist in integrating AI/ML or GenAI-powered features into mobile applications.
• Use AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or similar tools for development, debugging, code generation, and problem-solving.
• Collaborate with the development team to understand requirements and deliver features.
• Participate in code reviews and follow development best practices.

Required Skills

• 1–2 years of hands-on experience with React Native.
• Good hands on experience with JavaScript / TypeScript.
• Understanding of React Native components, hooks, navigation, and state management.
• Experience with REST APIs, JSON, and API integration.
• Exposure to Android and iOS application development.
• Familiarity with Android Studio and Xcode.
• Experience with mobile application debugging and testing.
• Exposure to AI/ML, GenAI, AI APIs, or AI-powered application features.
• Familiarity with AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or similar tools.
• Good problem-solving and communication skills.

Educational Qualification

B.Tech / B.E. in CSE, IT, or AI/ML only.

Preferred Qualifications

• Candidates currently based in Hyderabad are preferred.
• Immediate Joiners or candidates with a short notice period are preferred.
• Exposure to AI/ML or GenAI projects is an advantage.
• Experience integrating AI APIs into mobile applications is a plus.
• Knowledge of Git/GitHub and basic CI/CD concepts is preferred.
• Experience with Google Play Store / Apple App Store deployment is an added advantage.

Work Location

Gachibowli, Hyderabad

Note: This is a Junior React Native Developer position. Candidates with 1–2 years of relevant React Native experience, Android/iOS exposure, and AI/ML exposure are encouraged to apply.

Full Stack Developer – AI/ML & GenAI

Location: Mumbai

Experience: 7–9 Years

Employment Type: Full-time

Virtual Drive: Saturday

We are looking for a Python Full Stack Developer with 3+ years of hands-on experience in AI/ML and Generative AI.

Key Skills: Python Full Stack, FastAPI/Flask/Django, React/Angular, AI/ML, GenAI, LLMs, RAG, Embeddings, Vector Databases, Cloud (AWS/Azure/GCP), CI/CD, Docker & Kubernetes.

Role Overview 

The Business Analyst for the CCX Customer Success AI Acceleration workstream partners closely with Engineering, Product Management, and Program teams to translate customer success strategy and AIdriven use cases into clear, actionable requirements that enable scalable delivery. This role sits on the engineering side of the house, acting as a connective layer between business intent, technical execution, and AIenabled platform outcomes. 

The Business Analyst ensures that AI acceleration initiatives across the Customer Success Platform are well‑defined, appropriately prioritized, and traceable from business objectives through system design and delivery. This includes refining problem statements, documenting requirements, supporting backlog readiness, and helping teams move quickly without losing alignment or clarity. 

Requirements 

• Proven experience as a Business Analyst supporting engineering teams, preferably in enterprise, platform, or SaaS environments. 

• Strong ability to translate business needs, customer success objectives, and AI use cases into clear functional and non‑functional requirements. 

• Experience working on AI‑enabled or data‑driven products, including concepts such as automation, recommendations, agentic workflows, or insights powered by analytics. 

• Ability to partner effectively with Engineers, Product Managers, Technical Program Managers, and UX to support backlog refinement and delivery planning. 

• Experience creating and maintaining artifacts such as user stories, acceptance criteria, process flows, data mappings, and dependency documentation. 

• Comfort operating in fast‑paced, iterative delivery environments, supporting AI acceleration efforts where requirements evolve quickly. 

• Strong analytical skills with the ability to identify gaps, risks, dependencies, and edge cases early in the development lifecycle. 

• Clear written and verbal communication skills, with the ability to align technical and non‑technical stakeholders. 

• Familiarity with ServiceNow‑style enterprise platforms, customer success workflows, or complex system integrations is a strong plus. 

• Bachelor’s degree in Business, Information Systems, Engineering, or a related field—or equivalent professional experience. 

AI Product Builder | Consumer Experiences

TL;DR: ₹1 lakh/month. HSR Layout, Bengaluru. Full-time, in-person preferred, with flexibility for an exceptional fit. Use AI to build and refine consumer experiences. No CV or prior experience required. Apply by email, then an unpaid 48-hour workout assignment.

I'm Vishnu, building Aira. AI is the biggest equaliser we have, but nobody has figured out the consumer use case yet. I think Aira will be the reason everyday people start using AI daily.

I don't believe chatting is the final interface for AI. So Aira is built around a hand-drawn character that feels alive, shapes what's on your screen, and brings voice, animation and music together. The goal is the best answer, delivered in the best way for your situation, with help acting on it.

Say you're deciding what to cook. Aira helps you pick a meal, shows the ingredients, arranges the purchase with your confirmation. While you cook, it keeps the recipe and your current step on screen, speaks short instructions, and waits while your hands are busy. The same screen won't work at the gym, in meditation or while fixing a tyre. The conversation, the actions and what you see and hear should feel like one experience that adapts to what you're doing.

I'm hiring people who would have wanted to work on the first iPhone. People who obsessed over the small details that made something unfamiliar feel natural, and cared about what a person felt the first time they used it.

We've built the foundation. Your job is to take an experience, decide how it should work, build it with AI, and keep agonising until it feels right. In practice: tuning prompts and behaviour files, building or changing screen components with AI, and testing what you've made.

You may not yet be able to explain why an interaction feels incomplete. I want you to follow that feeling and build a better version. That's why we don't ask for a CV, prior experience or a coding background. We need product thinking, creativity and ownership — you question what AI gives you, make it work, and keep improving it.

We're launching in San Francisco this month. You'll work directly with me and help shape what people experience the first time they meet Aira.

The process

You'll build a workout experience from a minimal starter. We give you a stepper, a timer and the component plumbing; you decide how it behaves and build the rest. Anyone can attempt it, before any screening. You have 48 hours after receiving it. It's unpaid, for evaluation only, and your work stays yours.

AI helps me review, but I pick the shortlist myself. Shortlisted candidates get a 30-minute conversation. I aim to reply within 24 hours of submission and finish within a week.

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 

The Staff Software Craftsperson is a technical leadership role equivalent to an SDE-4/SDE-5. We are looking for seasoned engineers with 8+ years of hands-on experience who have transitioned from building great software to shaping the engineering culture and technical strategy of an entire organization. 

As a Staff-level crafter, your focus shifts from solving well-defined problems to identifying and solving the most complex, ambiguous technical challenges that impact our clients and our internal engineering standards. 

What You’ll Do as a Software Craftsperson 

Technical Vision & Architecture: Lead the architectural direction for complex, large-scale systems. You will balance the immediate needs of the business with long-term system health, ensuring our solutions remain simple, scalable, and resilient. 

Engineering Excellence at Scale: Champion disciplined engineering practices (TDD, Pair Programming, CI/CD) across multiple teams. You don’t just follow the bar; you raise it by introducing better patterns and tooling. 

AI Strategy & Mentorship: Drive our AI-native development model. You will experiment with and define how we use AI to accelerate the SDLC, ensuring the team uses these tools to enhance—rather than replace—deep technical judgment. 

Cross-Team Leadership: Act as a force multiplier. You will mentor senior engineers, conduct high-impact code reviews, and foster a culture of continuous learning and craftsmanship. 

Strategic Client Partnership: Work as a technical consultant for high-stakes client engagements, translating vague business goals into robust technical roadmaps and navigating complex stakeholder environments. 

Systemic Problem Solving: Beyond resolving production issues, you identify "class-level" problems in our infrastructure or codebase and implement systemic changes to eliminate them permanently. 

Requirements

What We're looking for 

8+ years of experience building and maintaining high-scale production systems. 

Mastery of Fundamentals: Expert-level understanding of object-oriented design, functional programming, and system architecture (Microservices, Event-driven, etc.). 

Polyglot Mindset: High proficiency in Ruby on Rails and React/Angular, with the proven ability to architect solutions across multiple tech stacks (Python, Go, etc.) as needed. 

Influence without Authority: Demonstrated ability to lead through persuasion and technical excellence rather than just hierarchy. 

Advanced AI Collaboration: Deep experience integrating AI into a professional workflow to explore architecture, automate toil, and peer-review logic. 

Proven Ownership: A track record of taking a project from a nebulous idea to a successful, maintained production system. 

Communication: Exceptional ability to explain complex technical trade-offs to non-technical stakeholders and executive leadership. 

Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions.

A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards 

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 

🚀 WE’RE HIRING | AI/ML GENERATIVE AI ENGINEER

📍 Location: Remote

💼 Experience: 5+ Years

🔄 Position: Contract – Extendable

🔹 ROLE HIGHLIGHTS

➤ Build and deploy AI/ML amp; Generative AI solutions

➤ Develop LLM, RAG, NLP, Recommendation amp; Predictive solutions

➤ Work on AI Agents, Chatbots, Computer Vision amp; Content Intelligence

➤ Build ML models using PyTorch, TensorFlow, Keras amp; Scikit-learn

➤ Develop RAG solutions using LangChain, LlamaIndex, FAISS/Milvus

➤ Integrate OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI amp; Hugging Face

➤ Build scalable AI APIs using Python, FastAPI/Flask/Django

➤ Contribute to Private AI amp; Smart Agentic Systems

⚙️ MUST-HAVE SKILLS

◆ Python – 3+ years

◆ AI/ML – 5+ years

◆ Generative AI – 2+ years

◆ LLMs, RAG, Embeddings , Transformers

◆ ML/DL, NLP amp; Predictive Analytics

◆ Cloud AI Platforms – Azure / AWS / GCP

◆ AI/ML Deployment | MLOps

Interview Process - F2F Round at Pune Location

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

Role Overview

We are looking for an AI/ML Engineer with 2 - 6 years of industry experience to develop and deploy machine learning solutions for industrial and smart manufacturing use cases. The role involves working with real-world industrial data, developing predictive and analytical models, and translating business and operational requirements into scalable AI/ML solutions.

The ideal candidate should have strong fundamentals in machine learning, Python, data processing, model development, and deployment, along with an interest in applying AI to manufacturing, industrial automation, and operational optimization.

Key Responsibilities

• Design, develop, train, and evaluate machine learning models for industrial and manufacturing use cases.
• Analyze large and complex datasets to identify patterns, trends, anomalies, and opportunities for optimization.
• Perform data preprocessing, feature engineering, model selection, and performance evaluation.
• Develop solutions for use cases such as predictive maintenance, anomaly detection, quality prediction, process optimization, forecasting, and equipment monitoring.
• Work with structured and time-series data generated from industrial equipment, machines, sensors, and operational systems.
• Develop and optimize ML pipelines for data preparation, model training, validation, and deployment.
• Collaborate with domain experts, data engineers, software engineers, and business stakeholders to understand requirements and translate them into technical solutions.
• Deploy machine learning models into production environments and monitor model performance.
• Troubleshoot model and data-related issues and continuously improve model accuracy, reliability, and scalability.
• Develop reusable code, APIs, and components to integrate ML models with enterprise and industrial applications.
• Document models, methodologies, experiments, results, and technical implementations.
• Stay updated with emerging AI/ML techniques, industrial AI trends, and smart manufacturing technologies.

Required Technical Skills

• Strong programming experience in Python.
• Good understanding of Machine Learning algorithms and concepts.
• Experience with libraries/frameworks such as Scikit-learn, Pandas, NumPy, and preferably TensorFlow or PyTorch.
• Strong understanding of data preprocessing, feature engineering, model training, validation, and evaluation.
• Experience working with time-series data is preferred.
• Good understanding of statistical concepts and data analysis.
• Experience with SQL and relational databases.
• Understanding of model deployment and productionization of ML solutions.
• Familiarity with Git and software development best practices.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience in Industrial AI, Smart Manufacturing, Industry 4.0, or Industrial IoT (IIoT).
• Experience with predictive maintenance, anomaly detection, forecasting, or quality inspection.
• Exposure to sensor data, machine/equipment data, telemetry, or real-time industrial data.
• Knowledge of computer vision for manufacturing or quality inspection use cases.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, or CI/CD for ML deployment.
• Knowledge of MLOps concepts and tools.
• Exposure to Generative AI/LLMs is an added advantage. 

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

This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality. 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering 

Requirements

What You’ll Bring 

• 
  
• 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies Python, React, AI, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

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. 

Benefits 

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

Job Title: Java AWS Kubernetes DevOps AI/ML

Experience: 8–10 Years

The candidate should have at least 1 year of experience in AI/ML and hands-on experience with the below technologies:

Java

AWS

Kubernetes

DevOps

AI/ML

MongoDB / PostgreSQL

Key-Value Caching

Vector Databases – ChromaDB / Pgvector

Lead Developer – Java, React, Node.js & AI/ML

Location: Mumbai

Experience: 8–10 Years

Job Type: Full-time

Job Description

We are looking for a Lead Developer with 8–10 years of experience in software development, with strong expertise in Java, React, and Node.js. The candidate should have at least 1 year of hands-on professional experience in Artificial Intelligence and Machine Learning and experience in building modern, scalable technology solutions.

Key Skills

Java, React, Node.js, AI/ML, MongoDB, PostgreSQL, Key-Value Caching, Vector Databases, ChromaDB, pgvector

Candidate should have strong software development experience along with good knowledge of modern databases, caching technologies, and vector search solutions.

Full-Stack Engineer (AI-Native) | 2-4 Years Experience

About the Role

We're hiring a Full-Stack Engineer who is equally comfortable building a polished Next.js interface and a reliable NestJS API behind it. You'll build customer-facing products, including AI-powered features like chat interfaces, streaming responses, and agent-driven workflows. You'll own features end to end, from database schema to UI, and use AI tools daily to ship faster without lowering the quality bar.

What You'll Do

Frontend

• Build responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScript
• Build AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputs
• Monitor web vitals and fix performance regressions

Backend

• Design and build scalable REST/GraphQL APIs and services with Node.js and NestJS
• Model, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or Drizzle
• Implement auth, authorization, validation, background jobs, queues, and caching (Redis)
• Integrate LLM APIs (OpenAI, Anthropic, Gemini), including streaming (SSE/WebSockets), tool calling, retries, rate limits, and cost/latency control

AI-Assisted Engineering

• Use AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writing
• Write and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better output
• Review AI-generated code critically for correctness, security, performance, and maintainability

Team and Delivery

• Write unit, integration, and E2E tests, using AI to speed them up rather than skip them
• Take part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-ups
• Document APIs, decisions, and runbooks clearly

Must-Have (Non-Negotiable)

Frontend

• Strong JavaScript (ES6+) and TypeScript
• React (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)
• HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basics

Backend

• Production experience with Node.js and a structured framework (NestJS preferred; Express/Fastify with good architecture is fine)
• Solid PostgreSQL skills: relational modeling, joins, indexes, transactions, query optimization
• API design: REST principles, pagination, versioning, error handling, input validation
• Authentication and authorization (JWT, OAuth2, sessions, RBAC)

Engineering Fundamentals

• Git, PR workflows, and code review habits
• Testing across layers (Jest/Vitest, React Testing Library, API/integration tests; Playwright/Cypress is a plus)
• Basic security awareness (OWASP top 10, secrets management, input sanitization)

AI-Assisted Development

• Daily, hands-on use of at least one AI coding tool (Cursor, Claude Code, Copilot, Windsurf, or similar)
• Ability to write clear prompts, give useful context, and break big tasks into steps an AI can handle
• Habit of reviewing, testing, and understanding AI output before committing it
• Basic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary

Nice to Have

• Redis, message queues (BullMQ, SQS, Kafka), or event-driven architecture
• Monorepo tooling (Turborepo, pnpm workspaces, Nx)
• Design system or component library work (shadcn/ui, Radix, Storybook)
• tRPC, GraphQL, or OpenAPI-driven type-safe clients
• Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
• Open-source contributions, a side project, or shipped AI features you can demo

What We Expect From You

• Ownership: take a feature from schema to UI to production, and flag risks early
• Judgment over speed: AI makes you faster, and you're still accountable for every line you ship
• Security awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party tools
• Systems thinking: consider scale, failure modes, and cost, not just the happy path
• Learning speed: the AI tooling landscape changes every few months, and you keep up and share what works
• Clear communication: PRs, docs, and async updates that others can follow

If interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two

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

Job Title – Staff QA Automation Engineer

Location - India, Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

Egnyte is looking for an experienced Staff QA Automation Engineer to join our team and work on some exciting projects. You should possess excellent communication skills in addition to the desired technical experience.

WHAT YOU’LL DO:

What You’ll Do (but is not limited to):

• Create automated processes to build Egnyte software packages which will be deployed in production environments
• Develop automatic tools to provision build/test environments on cloud infrastructure for hosting internal development and QA activities
• Prepare deployment solutions for QA, staging and production environments
• Create and maintain tools responsible for delivering on-premise services to customer (for example, on-premises server restart and software update)
• Contribute to the development processes, including enhancements to build procedures, test frameworks, verification tools and packaging
• Provide tools and automation workflows to increase software developer productivity
• Assist in defining the process models and tool sets to enable adoption of DevOps methodologies.

Your Qualifications:

• Experience with the Linux operating system, including configuration of subsystems such as storage, networking and file systems
• Strong knowledge of CI/CD tools such Jenkins, git, puppet, ansible, terraform and hands-on experience in implementing automated branching, build, test-automation and deployment pipelines
• Demonstrated abilities of writing and troubleshooting system level scripts in python and bash
• Familiarity with Linux packaging tools such as apt and automated package update mechanisms
• Familiarity with Windows OS internals and experience with QA automation on windows..
• Ability to work with multi-cultural, globally distributed teams to a common unifying product vision and closely coordinate with cross-functional teams in different time-zones.
• Passion to deliver enterprise-grade products to customers and to continuously work with engineering team to refine the product in the field.
• Experience on using AI tools to develop skills, hooks and scheduler

Education and experience:

• Bachelor’s degree in computer science, Computer Engineering or equivalent.
• Minimum 8 years industry experience as a software developer or quality engineer with enterprise software testing.

BENEFITS

• Competitive salaries
• Medical insurance and healthcare benefits for you and your family
• Fully paid premiums for life insurance
• Flexible hours and PTO
• Mental wellness platform subscription
• Gym reimbursement
• Childcare reimbursement
• Group term life insurance

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hrategnyte.com. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hrategnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.

About Venxr

VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.

About the Role

We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.

Tech Stack

Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development

Roles & Responsibilities

• End-to-End Feature Ownership
• Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
• Full-Stack Development
• Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
• Product Thinking
• Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
• Rapid Iteration
• Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
• Cross-Functional Collaboration
• Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
• System Design & Architecture
• Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
• Debugging & Problem Solving
• Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
• AI-Native Development
• Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.

Requirements

• 3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
• Strong proficiency in React.js for front-end development
• Strong proficiency in Python, with hands-on experience in Django for back-end development
• Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
• Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
• Experience working directly with Product/Design teams, not just executing tickets
• Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
• Strong debugging and problem-solving skills

Good to Have

• Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
• Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
• Experience in AdTech, MarTech, or data-heavy SaaS platforms.
• Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
• Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
• Experience with data visualization libraries (Recharts, D3.js, Chart.js).
• Familiarity with compliance-aware or explainable AI design in regulated domains.

What We Look For In Candidates

• Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
• Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
• Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
• High Standards – You hold your own code to a higher bar, even when no one's checking.
• Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
• Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
• Solidarity with the Team – You show up for your teammates, no invitation needed.
• Vitality – You bring real energy and resilience that keeps you (and others) going.

• Why Join Venxr?
• Be part of a fast-growing startup that puts data at the heart of every decision.
• Opportunity to work on high-impact, real-world business challenges.
• Collaborative, transparent, and learning-oriented work environment.
• Flexible work culture with a strong focus on career development.
• Comprehensive health benefits to support your well-being.
• Team offsites and engagement activities to build stronger connections beyond work.
• Performance-based incentives and rewards recognizing your contribution and impact.

• 6+ years of professional full-stack software engineering experience, with demonstrated ownership of production systems end-to-end (not just feature contribution within a large team).
• Backend: Strong proficiency in Python (FastAPI or Flask) — this is BuildTwin's primary backend language, used across the AI pipeline and application layer.
• Frontend: Strong proficiency in React and TypeScript, including building data-dense, interactive interfaces (dashboards, review workflows, file viewers) — not just CRUD forms.
• Database: Deep, hands-on experience with PostgreSQL — schema design, query optimization, indexing strategy, and multi-tenant data modeling.
• API design: Proven experience designing clean, versioned REST APIs, particularly ones serving as the integration layer between a backend/AI system and a frontend or third-party consumer.
• Cloud & DevOps: Production experience with AWS or Azure (compute, storage, queuing/messaging services), Docker, and CI/CD pipelines.
• Asynchronous & batch processing: Real experience with job queues (Celery, SQS, or equivalent) and designing systems that process work in parallel with proper failure isolation.
• Multi-tenant architecture: Direct experience building and securing systems that serve multiple isolated clients/tenants from shared infrastructure.

We are looking for a Lead Data Architect to design, build, and scale our data pipelines and entity resolution systems. This role combines deep technical expertise in data engineering with hands-on experience in AI-assisted tooling, entity matching, and data integration from diverse sources. You will lead architectural decisions for our data platform, mentor engineers, and ensure our pipelines are reliable, scalable, and production-grade.

Key Responsibilities

     Architect, build, and maintain robust, scalable data pipelines that ingest, transform, and serve data from multiple internal and external sources.

     Own the end-to-end orchestration of data workflows using tools like Dagster, ensuring observability, reliability, and maintainability of pipelines.

     Design and implement entity resolution workflows — including matching, merging, and survivorship logic — using tools such as Splink, to produce clean, deduplicated, golden records.

     Build and maintain web scrapers to source data from external providers, ensuring resilience to source changes, rate limits, and data quality issues.

     Integrate and reconcile data coming from multiple, often inconsistent, sources into unified, trustworthy datasets.

     Design and maintain data models and schemas across transactional and analytical systems, ensuring consistency, scalability, and performance.

     Leverage AI/LLM-based tools and techniques to enhance data pipeline capabilities — e.g., intelligent data extraction, automated data quality checks, or AI-assisted entity matching.

     Define and enforce best practices around pipeline design, testing, monitoring, and documentation.

     Collaborate closely with data engineers, product managers, and other stakeholders to translate business requirements into scalable data architecture.

     Provide technical leadership and mentorship to the data engineering team.

Required Skills & Experience

     Strong hands-on experience building and maintaining production-grade data pipelines at scale.

     Practical experience with Dagster (or similar orchestration tools like Airflow/Prefect) for pipeline orchestration.

     Experience with Splink or similar probabilistic/deterministic record linkage tools for entity matching, merging, and survivorship.

     Strong proficiency in Python, including experience writing and maintaining web scrapers.

     Proven experience integrating and maintaining data pipelines that pull from multiple, heterogeneous data sources.

     Experience applying AI/ML tools within data engineering workflows (e.g., LLM-assisted data cleaning, extraction, or matching).

     Hands-on experience with relational and distributed databases such as PostgreSQL and Google Cloud Spanner.

     Strong understanding of data modeling principles (normalization, dimensional modeling, schema design) across OLTP and OLAP systems.

     Experience with cloud data warehousing platforms such as BigQuery, Redshift, and cloud platforms (GCP/AWS/Azure).

     Strong communication skills and experience working cross-functionally with engineering and product teams.

     Experience with distributed data processing frameworks (e.g., Spark, Dask).

     Familiarity with data governance, lineage, and cataloging tools.

     Prior experience in a lead or architect-level role guiding a data engineering team.

What We're Looking For

A technically strong, hands-on leader who can balance architectural thinking with the practical grit of debugging a flaky scraper or tuning a matching algorithm — someone who's comfortable owning both the big picture and the messy details of real-world data.

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