50+ Artificial Intelligence (AI) Jobs in Bangalore (Bengaluru) | Artificial Intelligence (AI) Job openings in Bangalore (Bengaluru)

Key Responsibilities

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

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

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

unstructured financial documents, and model evaluation pipelines.

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

systems.

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

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

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

environments.

What We're Looking For

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

LangChain, or equivalent).

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

valued.

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

versioning).

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

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

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

KEY RESPONSIBILITIES

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

REQUIRED SKILLS & QUALIFICATIONS

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

What you'll do

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

What you'll bring

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

Strong understanding of Java.

Strong understanding of Machine Learning /MLOps using Python .

Familiarity with Agentic AI frameworks.

Familiarity with Kubernetes (K8S) and Docker.

Experience in developing solutions using Azure storage and compute solutions.

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

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

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

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

Required Qualifications

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

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

Software Engineer

Position Responsibilities

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

Build & Integrate

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

Analyse & Solve

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

Operate & Improve

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

Nice-to-Have Skills

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

Oracle Service Cloud

Workato / iPaaS

Salesforce

Gainsight

AI / LLM integration

Snowflake

Microsoft Power BI

Microsoft Power Apps

Cloud-native development

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

Qualifications

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

A BIT ABOUT US

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

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

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

About The Role

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

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

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

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

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

What You Will Own

1. GTM strategy 

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

For each significant opportunity, help answer:

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

You will:

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

2. Demand Generation and Integrated Campaigns

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

You will:

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

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

3. Account-Based and Segment GTM

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

You will:

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

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

4. Website, Organic Discovery and Conversion

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

You will own or drive:

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

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

5. Product Launches and Market Activation

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

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

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

6. Content and Thought Leadership

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

You will:

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

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

7. Field Marketing and Events

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

You will:

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

8. Market Intelligence and Experimentation

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

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

Work Expectations

First 60 days

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

Within 90 days

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

Within 6 months

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

Personality Traits We Admire

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

What We Are Looking For

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

Interview Process

Round 1: Hiring Manager

Round 2: Functional Case Study

Round 4: CEO Discussion

Round 5: HR & Compensation

Compensation and Benefits

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

Why Join Appknox?

Ownership and Impact

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

Growth Opportunity

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

High Visibility

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

Continuous Learning

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

Key Responsibilities

1. Solutioning & Proposal Development

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

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

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

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

2. Client Engagement Support

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

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

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

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

3. Content & Program Structuring

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

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

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

4. Research & Market Intelligence

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

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

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

5. Internal Collaboration

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

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

Must Have Technical & Functional Skills

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

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

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

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

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

Qualifications & Experience

Required:

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

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

Nice to Have competences:

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

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

Core Competencies

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

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

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

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

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

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

Key Responsibilities  

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

Required Skills  

Mandatory  

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

Preferred  

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

Primary Technology Stack  

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

Experience: 1–3 Years

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

We're hiring a GTM Engineer to sit at the intersection of engineering and go-to-market. You'll build the internal tooling and automations that power our growth — outbound systems, lead-gen and enrichment pipelines, CRM integrations, AI agents — and run rapid growth/GTM experiments end to end (funnel/CRO tests, growth loops, activation and retention). Engineering is the baseline: you write real code (Python/JS, APIs) and ship tools yourself. What sets you apart is proven, hands-on growth experimentation with measurable outcomes. Must-haves: genuine coding ability (ships tools/automations in real code); demonstrated ownership of growth/GTM experiments with results; 2–4 yrs experience. Nice to have: early-stage B2B SaaS background; AI agent / LLM tooling experience.

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

Experience : 5 to 10 Years

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

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

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

Mandatory Skills :

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

Key Requirements :

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

Roles & Responsibilities :

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

Ideal Candidate :

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

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

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

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

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

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

Key Responsibilities

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

Required Skills & Experience

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

We are seeking a Full Stack Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.

Responsibilities:

• Understand business requirements and convert them into technical solution options.
• Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
• Develop POCs and prototypes to validate technical feasibility.
• Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
• Perform technical, scalability, security, and cost feasibility assessments.
• Prepare solution comparison reports, architecture diagrams, and technical recommendations.
• Collaborate with business users, vendors, and engineering teams during evaluations.
• Identify technical risks, assumptions, and implementation dependencies.
• Support engineering teams in transitioning successful POCs into production.
• Maintain clear technical documentation.

Criteria:

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

·      3–5 years of hands-on experience in software development, integration engineering, or solution engineering.

·      Strong coding skills in Python, Node.js, Java, or C#.

·      Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.

·      Hands-on exposure to AWS or another major cloud platform.

·      Experience with Git, Docker, and SQL databases.

·      Excellent analytical, troubleshooting, and communication skills

·      Comfortable collaborating across product, engineering, and business teams

·      Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills

• Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
• Experience evaluating third-party enterprise software.
• Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.

Ability to create architecture diagrams and technical proposals

About the role

• Conduct job evaluations and market pricing using compensation survey data to ensure roles are benchmarked accurately and consistently. Participate in salary survey submissions and maintain survey vendor relationships.
• Develop and maintain reports, dashboards, and compensation tools to support HR and business decision-making. Analyze internal pay equity and external competitiveness, identifying trends and flagging issues for review.
• Support annual compensation planning processes, including data preparation, system updates, and reporting. Maintain and update compensation data in HRIS systems, ensuring accuracy and data integrity.
• Support the management of global compensation programs, including variable incentive program market evaluation and administrative operations locally. 
• Manage and optimize AI-enabled compensation tools and platforms, including evaluating vendor solutions, designing workflows, configuring models or prompts for compensation use cases, and driving adoption across HR and business stakeholder groups.
• May manage compensation programs, such as recognition and morale programs, including program enhancement, administration, budget oversight, and effectiveness analysis, ensuring alignment with total rewards philosophy and a positive employee experience.
• Ensure data quality, compliance, and alignment with compensation policies by auditing compensation data, enforcing data governance standards, and identifying process improvements across systems such as Workday and external survey platforms.

Who you are

• 8+ years of experience in compensation, rewards, or closely related HR analytics roles supporting program design and administration.
• Experience conducting market benchmarking, participating in or leading salary survey submissions, and applying survey data to develop or maintain salary structures and incentive programs.
• Experience analyzing large data sets to generate compensation insights and recommendations, using spreadsheets and reporting tools to inform decisions for HR and business stakeholders.
• Experience working with HRIS or HCM systems (such as Workday) to support compensation processes and maintain data integrity.
• Experience working with or implementing AI-enabled HR or compensation tools, including vendor evaluation, workflow design, or model/prompt configuration for compensation use cases.
• Experience administering recognition, morale or other ancillary programs, including program design, budget management, and reporting.
• Comfort experimenting with and adopting emerging technologies to improve compensation processes, data analysis, or stakeholder communication.

Job Title: IAM & AI Engineer (Identity & Access Management + AI Automation)

Experience: 5–8 Years

Location: Bengaluru (Onsite/Hybrid)

Employment Type: Full-Time / Contract

About the Role

We are seeking a highly skilled IAM & AI Engineer with hands-on experience in Identity & Access Management (IAM), AI/ML technologies, LLMs, Copilot solutions, Agentic AI, and workflow automation. The ideal candidate should have experience designing secure AI-driven solutions while ensuring compliance, governance, and seamless integration with enterprise systems.

Mandatory Skills

• Identity & Access Management (IAM)
• AI/ML, Large Language Models (LLMs)
• Microsoft Copilot / GitHub Copilot / AI Copilot Solutions
• Agentic AI Frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or equivalent)
• Workflow Automation using APIs, Scripts, Connectors
• REST APIs & Webhooks
• Python or PowerShell Scripting
• Privileged Access Management (PAM)
• ServiceNow (ITSM)
• AI Security, Compliance & Data Governance
• Experience building AI-powered products or enterprise AI solutions

Key Responsibilities

• Design, implement, and manage enterprise Identity & Access Management (IAM) solutions.
• Develop AI-powered assistants, Copilots, and Agentic AI workflows for enterprise automation.
• Build secure integrations using REST APIs, webhooks, connectors, and scripting.
• Automate IT and business processes using AI, APIs, and workflow orchestration tools.
• Implement and manage Privileged Access Management (PAM) solutions.
• Integrate IAM workflows with ServiceNow for identity lifecycle management.
• Develop AI-enabled automation for user provisioning, access reviews, and approval workflows.
• Ensure AI applications comply with enterprise security, privacy, and governance standards.
• Implement AI security controls, prompt security, data protection, and model governance.
• Collaborate with security, infrastructure, cloud, and application teams to deliver scalable AI solutions.
• Monitor, troubleshoot, and optimize AI and IAM platforms.
• Create technical documentation, deployment guides, and best practices.

Required Experience

• 5–8 years of experience in Identity & Access Management (IAM).
• Hands-on experience with Azure AD (Microsoft Entra ID), Okta, SailPoint, Ping Identity, ForgeRock, CyberArk, or similar IAM/PAM platforms.
• Experience building AI applications using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
• Practical experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent Agentic AI frameworks.
• Strong knowledge of REST APIs, authentication protocols (OAuth 2.0, OpenID Connect, SAML, JWT), and workflow automation.
• Experience integrating AI solutions with enterprise systems such as ServiceNow, Microsoft 365, Azure, AWS, or GCP.
• Experience implementing AI governance, compliance, responsible AI practices, and secure AI deployment.
• Strong understanding of cloud security, Zero Trust, RBAC, ABAC, and least-privilege access models.

Preferred Skills

• Microsoft Azure AI / Azure OpenAI Services
• Microsoft Power Platform (Power Automate)
• AWS or Azure Cloud Security
• Kubernetes & Docker
• CI/CD Pipelines
• RAG (Retrieval-Augmented Generation)
• Vector Databases (Pinecone, Chroma, FAISS, Azure AI Search)
• Prompt Engineering and AI Evaluation
• DevSecOps practices

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
• Relevant certifications are a plus:
• Microsoft Certified: Identity and Access Administrator Associate
• Microsoft Certified: Azure AI Engineer Associate
• Okta Certified Professional
• SailPoint IdentityIQ
• CyberArk Defender/Sentry
• SC-300, AZ-104, AI-102

Ideal Candidate

What You'll Bring

• Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Java Developer – Job Description

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.

We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

Required Skills

• Experience: 4 to 7 years.
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Wissen Technology

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015.

Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including:

• Application Development
• Artificial Intelligence & Machine Learning
• Big Data & Analytics
• Visualization & Business Intelligence
• Robotic Process Automation
• Cloud
• Mobility
• Agile & DevOps
• Quality Assurance & Test Automation

We have been certified as a Great Place to Work® for two consecutive years (2020–2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

[Please refrain from applying if you have over 10 years of experience. This is a hands-on role that requires building from the ground up.]

Location: Bengaluru (In-Office)

Employment Type: Full-Time

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

As we expand our AI capabilities, we are looking for a Director, AI Engineering to define and drive the research direction behind our next generation of intelligent systems.

About the Role

This is a hands-on technical leadership role for someone who enjoys solving difficult AI problems and turning research into production impact.

You will lead the research agenda across large language models, reasoning systems, agentic AI, multimodal learning, and intelligent decision support while working closely with engineering, product, and mortgage domain experts. You will prototype new ideas, validate them through rigorous experimentation, and help productionize solutions that directly improve customer outcomes.

This role is ideal for someone with deep research expertise who enjoys building real-world AI systems rather than research for its own sake.

What You'll Do

• Define and execute the Applied AI research roadmap aligned with company and product goals.
• Design novel approaches for document understanding, reasoning, planning, retrieval, and decision support.
• Build agentic AI systems capable of orchestrating tools, workflows, and domain knowledge to solve complex mortgage use cases.
• Develop multimodal AI models that combine documents, structured data, images, and operational context.
• Lead research on long-context reasoning, knowledge integration, memory, retrieval-augmented generation (RAG), and workflow automation.
• Design robust evaluation frameworks, benchmarks, and automated testing pipelines to measure model quality, reliability, explainability, and business impact.
• Rapidly prototype, experiment, and iterate on new AI techniques, evaluating state-of-the-art research for production adoption.
• Work closely with software engineers to translate research prototypes into scalable, production-ready systems.
• Mentor AI engineers and contribute to building a strong research culture within the organisation.
• Collaborate with mortgage domain experts to deeply understand operational workflows, compliance requirements, and decision-making processes.
• Stay current with advances in AI research and identify opportunities to leverage emerging techniques within our platform.
• Represent Logikality in customer interactions, strategic discussions, industry conferences, and business forums, communicating our AI vision, gathering market insights, and helping shape research priorities through direct engagement with customers and ecosystem partners.

What We're Looking For

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; or an engineering degree in Computer Science or related disciplines from a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• 3–8 years of professional experience in Applied AI, Machine Learning, or AI Research, with experience building production-grade AI systems
• Strong expertise in modern AI, including Large Language Models, transformers, agentic AI, reasoning systems, retrieval, multimodal learning, or adjacent areas.
• Strong software engineering skills with Python and modern machine learning frameworks.
• Experience designing and implementing production-grade AI systems that solve complex real-world problems.
• Strong understanding of model evaluation, benchmarking, experimentation, and AI system reliability.
• Experience balancing research innovation with engineering pragmatism and product delivery.
• Excellent problem-solving and communication skills with the ability to collaborate across engineering, product, and business teams.

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This is an opportunity to work at the intersection of cutting-edge AI research and real-world impact, where your ideas won't remain as papers or prototypes; they'll power intelligent systems used every day by mortgage professionals. We are looking for someone who can connect AI, platform engineering, product thinking and customer outcomes.

For the right person, this could develop into a CTO and co-founder track over the next 6–9 months, based on contribution, technical leadership and mutual fit.

Interested candidates are requested to apply via the Google Form given: https://forms.gle/jFqKzfLhNCcCFU5t9

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

About the position:

We are looking to hire a dedicated content writer who understands the impact that content can create. The person of interest would be expected to create seo-friendly content for blogs, articles, social media, sales/marketing collaterals, case studies, company’s website and other formats. The responsibilities would include evaluating analytics, to adjust content as needed, regularly updating the company’s website and promoting the company blog with on-page and off-page activities.

About EasyEcom:

EasyEcom is an eCommerce enablement platform and is an industry-leading omnichannel order & warehouse management solution for B2C and B2B business management. The SaaS software is currently catering to several eCommerce businesses and multichannel retailers like Epigamia, RedTape, Mondelez International, My Glamm, Borosil, Prestige, etc. We are persistently growing, from a few hundred clients to over 7000+ global clients, a handful of dedicated team members to a 200+ members strong team, and being VC funded, we are continuing to expand over and beyond! At EasyEcom, we empower e-commerce businesses to achieve seamless and scalable operations. We help brands navigate the complexities of multichannel selling with ease. The platform integrates with top marketplaces like Amazon, Shopify, eBay, and Flipkart providing businesses with a unified solution to manage their inventory, orders, and fulfillment process from one place. Our SaaS software fuels the growth of leading eCommerce brands and multichannel retailers, including names like Epigamia, RedTape, Lyfcare, Mindful Soul, My Glamm, Borosil, Louis Stitch and Soothe Healthcare. From a humble start with a few dedicated clients, we’ve skyrocketed to support over 7,000+ global businesses, with a growing team now over 200+ strong. Let’s shape the future of e-commerce together.

Responsibilities:

● Conducting in-depth research on industry-related topics and writing original plagiarism-free content.

● Proofreading articles before publishing

● Analyzing content marketing metrics and making changes as needed ● Collaborating with other departments to create innovative content ideas and assist the marketing team in developing content for advertising campaigns.

● Editing the existing content to improve readability

● Recommending new content to address gaps in the company's current content

● Taking care of Guest Blogging initiatives

● Conducting Keyword Research and using SEO best practices to increase website traffic

● Repurpose the content into various forms, including and not limited to slides, videos, podcasts, and infographics

● Promote content on social media.

Requirements:

● Bachelor's degree in Technology or related field with skill development courses across Marketing and/or language command.

● Upto 1 year of experience as a content writer and should provide a portfolio of the published work

● Should be able to work in a fast-paced environment and work on multiple assignments simultaneously.

● Excellent Research, writing and editing skills

● Excellent interpersonal and communication skills

● Thorough hang of GSC, GA4 and other analytical tools (paid/free)

● Hands-on experience with various CMS tools especially WebFlow

● Should be able to quickly get a thorough understanding of the company product.

We are looking for a motivated and enthusiastic Full Stack Intern to join our development team. The ideal candidate should have a strong interest in frontend development, backend systems, and AI/ML technologies, along with a willingness to learn and contribute to real-world projects.

Role: Full Stack Intern

Technologies:

• Frontend: React.js, Next.js
• AI/ML: Basic understanding of Machine Learning concepts and AI integrations

Responsibilities:

• Develop and maintain responsive web applications using React.js and Next.js
• Build and integrate backend APIs and services
• Work with databases and server-side logic
• Assist in AI/ML feature integrations and model implementations
• Collaborate with designers, developers, and team leads
• Debug, test, and optimize application performance
• Participate in code reviews and daily team discussions

Requirements:

• Basic knowledge of React.js and Next.js
• Understanding of JavaScript, HTML, and CSS
• Familiarity with backend development using python or similar technologies
• Basic understanding of REST APIs and databases
• Interest in AI/ML technologies and tools
• Good problem-solving and communication skills
• Ability to learn quickly and work in a team environment

Preferred Skills:

• Knowledge of Git/GitHub
• Experience with MongoDB or SQL databases
• Familiarity with Python for AI/ML projects
• Understanding of deployment and hosting platforms

Internship Details:

• Duration: 6 Months
• Internship Type: Remote
• Stipend: 10000-15000 Based on Performance

If you are passionate about building modern applications and exploring AI-powered solutions, we’d love to hear from you.

Job Title: Senior AI/ML Researcher – Large Language Models

Location: Bengaluru, India

Experience: Ph.D. or M.Tech (3–4 years research experience post-M.Tech)

Employment Type: Full-time

Company Overview

Big Air Lab (https://www.bigairlab.com/) operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We’re seeking a Senior AI/ML Researcher who lives and breathes large-scale models, algorithms, and cutting-edge machine learning. If you’re someone who wants to push boundaries in LLMs, predictive modeling, and applied AI research — while also guiding a team to turn theory into real-world solutions — this is your role.

You’re not just an academic — you’re a builder and a mentor. You’ll drive independent research, publish in reputed journals and conferences, and ensure that what’s on paper becomes code, experiments, and scalable AI solutions. You’ll lead from the front — coding, experimenting, mentoring, and showing what world-class research execution looks like.

Key Responsibilities

• Conduct independent research in Large Language Models (LLMs) and related predictive machine learning fields.

• Lead, mentor, and manage a research team comprising of senior members and interns.

• Publish research findings in reputed journals (preferred) or present at leading conferences.

• Develop and experiment with advanced AI and machine learning algorithms.

• Build, validate, and deploy models using PyTorch and other deep learning frameworks.

• Apply rigorous Object-Oriented Programming principles for developing scalable AI solutions.

• Collaborate closely with cross-functional teams to transition research into applicable solutions.

• Provide thought leadership and strategic guidance within the organization.

Required Qualifications

• Ph.D. in Computer Science, AI, or related fields (IIT or top-tier research institute preferred).
• Candidates with Ph.D. require no additional experience.
• M.Tech/MS in Computer Science, AI, or related fields from a top research institute with 3–4 years of dedicated research experience.
• Proven track record of research in LLMs or related AI domains, demonstrated by at least:
• 1 journal publication (preferred), or
• 4 high-quality conference papers.
• Strong expertise in PyTorch and other deep learning frameworks.
• Solid proficiency in Object-Oriented Programming (OOP).

Preferred Attributes

• Detail-oriented with a rigorous analytical mindset.

• Highly capable of conducting and guiding independent research.

• Strong written and verbal communication skills.

• Ability to clearly articulate complex research findings and strategic insights.

Why Join Big Air Lab?

• Lead groundbreaking research in cutting-edge AI technologies.

• Shape the direction of our newly formed R&D department.

• Enjoy significant professional growth, influence, and recognition within the AI research community.

Looking for somone with strong in AI, who have built the application and scaled them . Start up work exposure

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines.

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

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

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

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

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.

• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).

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

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

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

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

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

Mihup is a voice AI company building in-car voice assistance and sound technology for the automotive industry. We power intelligent voice experiences for leading OEMs.

Its solutions integrate automation, real-time assistance, and analytics at scale to enhance accuracy, efficiency, and agility in enterprise operations. Mihup.ai also serves organizations across BFSI, IoT, and other sectors, delivering robust conversation intelligence that supports performance and innovation. With over 1 billion interactions powered, Mihup.ai helps businesses turn voice data into measurable business outcomes and competitive advantage. The company offers a dynamic environment for professionals interested in advanced AI applications in automotive and other industries.

Role Description The AI Engineer will design, develop, and optimize machine learning models and algorithms that power Mihup.ai’s Voice AI and conversation intelligence solutions. Day-to-day responsibilities include building and refining pattern recognition systems, implementing and training neural networks, and developing NLP-based features that improve speech understanding and real-time assistance. The role involves collaborating with product, data, and engineering teams to integrate AI models into production-grade software, monitor performance, and iterate based on user data and business needs. The AI Engineer will also contribute to research, prototyping, and documentation to keep the platform aligned with best practices in AI and scalable software development. This is a full-time, on-site role based in Kolkata/ Bangalore

Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
• B. Tech, M.Tech, PHD from top tier institutes like IIT, IISC, ISI, NIT, IIIT is mandatory.
• Demonstrated experience with Pattern Recognition and Neural Networks for real-world applications.
• Hands-on expertise in Natural Language Processing (NLP), especially in speech, dialogue, or text analytics.
• Proficiency in Software Development using languages such as Python, Java, or similar, and familiarity with version control and CI/CD.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries for NLP and deep learning.
• Experience working with large-scale data pipelines, model evaluation, and performance optimization.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
• Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document solutions effectively.
• Background in voice technologies, speech recognition, or conversational AI is a strong plus.

At Oracle Health, we're transforming healthcare administration through Oracle Health Insurance (OHI), a cloud-native payer platform supporting enrollment, billing, benefits administration, provider payments, and claims adjudication. 

As Oracle expands Oracle Health Insurance capabilities globally, including support for U.S. Medicare, Medicaid, commercial insurance programs, and AI-enabled claims processing, we're investing in engineers who are passionate about building the next generation of healthcare payer solutions.

As an IC3 Software Development Engineer, you will contribute to the design and development of scalable cloud services, healthcare business workflows, and AI-powered capabilities that improve operational efficiency for health plans and government programs.

Responsibilities

As a member of the software engineering division, you will assist in defining and developing software solutions associated with Oracle Health Insurance products. You will design, develop, test, and deploy software components while collaborating with cross-functional teams across product management, architecture, QA, and customer implementations.

Key Responsibilities

• Develop and enhance OHI modules supporting enrollment, benefits, claims, and payments. 
• Build scalable microservices and APIs supporting payer workflows. 
• Contribute to healthcare payer platform capabilities and country-specific configurations. 
• Participate in AI and automation initiatives leveraging LLMs and agent-based solutions. 
• Develop integrations using healthcare standards and EDI transactions. 
• Troubleshoot production issues and support continuous improvement initiatives. 
• Collaborate with distributed engineering teams to deliver high-quality software. 

Mandatory Qualifications

• BS/MS in Computer Science or related field. 
• 4-6 years of software engineering experience. 
• Strong programming skills in Java and/or Python. 
• Experience with REST APIs and distributed systems. 
• Strong SQL and database fundamentals. 
• Experience with cloud technologies (OCI, AWS, or Azure). 
• Knowledge of software design patterns and object-oriented design. 
• Experience working in Agile development environments. 
• Familiarity with CI/CD pipelines and automated testing. 
• Experience leveraging AI-assisted software development tools and modern developer productivity technologies. 

Preferred Qualifications

• Healthcare payer domain knowledge. 
• Exposure to claims processing, enrollment, benefits administration, or provider payments. 
• Familiarity with Medicare, Medicaid, or commercial insurance workflows. 
• Experience with GenAI, prompt engineering, or AI agents.

Total Experience: 1+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

• Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
• Integrate LLMs and AI APIs into production-grade applications.
• Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
• Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
• Build responsive, performant, customer-facing interfaces with React/Next.js.
• Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage: 

• You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster. 
• Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

• Solid fundamentals: problem-solving, data structures, and how systems fit together. 
• At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB). 
• You write clean, production-grade code and you ship.
• Knowledge of application security or ethical hacking is an advantage.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

A BIT ABOUT US

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

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

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

The Opportunity

As Appknox evolves from a mobile application security platform into an AI-native application security company, we are looking for a Senior Product Marketing Manager to lead positioning, go-to-market execution, sales enablement, competitive intelligence, and customer insights across our product portfolio.

This role sits at the intersection of Product, Sales, Customer Success, and Marketing and plays a critical role in defining how Appknox is perceived by customers and the market.

You will own the narratives behind our products, influence category creation, help shape launches, and become the voice of the market inside Appknox.

This role is designed for someone who aspires to build and lead a world-class product marketing function over time, with a clear growth path toward Director of Product Marketing.

Products/Capabilities You Will Support

• Appknox Platform
• Storeknox
• KnoxIQ
• Future AI-driven products and capabilities

Key Responsibilities

Positioning and Messaging

• Own positioning and messaging across the Appknox product portfolio.
• Translate technical capabilities into compelling value propositions for security, engineering, and executive buyers.
• Continuously refine messaging based on customer feedback and market dynamics.

Product Launches and Go-To-Market

• Lead cross-functional go-to-market initiatives and product launches.
• Coordinate with Product, Sales, Customer Success, and Marketing teams to drive successful adoption.
• Develop launch plans, messaging frameworks, enablement assets, and campaign support.

Sales Enablement

• Build and maintain battle cards, pitch decks, competitive comparisons, use cases, and customer stories.
• Partner closely with sales teams to improve messaging consistency and win rates.
• Conduct enablement sessions for internal teams and support strategic deals when required.

Customer and Market Insights

• Engage directly with customers and prospects to understand pain points and validate messaging.
• Conduct customer interviews, gather feedback, and identify emerging use cases.
• Develop case studies, proof points, and customer success narratives.

Competitive Intelligence

• Monitor competitors and emerging trends across cybersecurity, AI, DevSecOps, and software development.
• Develop and maintain competitive positioning and battle cards.
• Identify market opportunities and strategic gaps.

Category and Thought Leadership

• Help establish Appknox's leadership in AI-native application security.
• Contribute to thought leadership themes around AI, mobile security, software supply chain risks, and emerging AppSec trends.
• Support industry events, analyst interactions, and strategic communications.

Team Leadership

• Mentor and guide content and product marketing resources.
• Help establish repeatable product marketing processes and frameworks.
• Contribute to building a scalable product marketing function.

AI and Modern Marketing

• Leverage AI tools and modern workflows to accelerate research, content development, competitive intelligence, and campaign analysis.
• Understand how buyers increasingly discover and evaluate vendors through AI-assisted channels and ensure Appknox maintains strong visibility and credibility.

What We are Looking For

Required Experience

• 5-8 years of experience in Product Marketing, Solutions Marketing, Technical Marketing, or related GTM roles within B2B SaaS.
• Strong experience in positioning, messaging, product launches, and sales enablement.
• Exceptional written and verbal communication skills.
• Experience collaborating with Product, Sales, Customer Success, and Marketing teams.
• Hands-on experience using AI tools such as ChatGPT, Claude, Gemini, or Perplexity to improve productivity and workflows.
• Strong project management and stakeholder management skills.
• Familiarity with marketing automation and analytics platforms such as HubSpot.

Strongly Preferred

• Experience in Cybersecurity, DevSecOps, developer tools, cloud security, AI infrastructure, or other technical SaaS categories.
• Familiarity with application security or modern software development practices.
• Experience supporting enterprise sales motions and technical buyers.
• Experience building competitive intelligence programs.

Work Expectations

First 90 Days

• Build a deep understanding of products, customers, and competitors.
• Refresh core messaging and sales enablement assets.
• Establish strong relationships across Product, Sales, and Customer Success teams.

Within 6 Months

• Lead major launches and go-to-market initiatives.
• Establish repeatable competitive intelligence and customer insight processes.
• Improve sales enablement and messaging consistency.

Within 12 Months

• Become the voice of the market inside Appknox.
• Influence product strategy and category narrative.
• Mentor content marketing resources and help scale the product marketing function.
• Play a key role in establishing Appknox as a leader in AI-native application security.

Personality traits we admire:-

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

Interview Process

Round 1: Hiring Manager

Round 2: Functional Case Study

Round 3: Product + Sales Panel

Round 4: CEO Discussion

Round 5: HR & Compensation

Compensation and Benefits

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

Why Join Appknox?

Ownership and Impact

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

Growth Opportunity

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

High Visibility

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

Continuous Learning

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

🚀 Hiring | AI Video Producer | Full-Time | 📍 Bengaluru

About the company:

RPlus Analytics is a UK-based company established in 2012, headquartered in Preston, UK, with an office in Bengaluru. We are into Data Analytics and Artificial Intelligence and are expanding into AI-powered content and media production.

Role Responsibilities

• Manage end-to-end AI video production workflows

• Coordinate editors, designers, and AI creators to ensure timely delivery

• Review video output and maintain quality standards

• Build and optimize AI video production processes

• Convert briefs, scripts, and ideas into clear execution plans

• Manage project timelines, priorities, and deliverables

• Ensure consistency in storytelling, pacing, and visual quality

• Create and edit videos when required

Requirements

• Strong understanding of AI-powered video production workflows

• Hands-on experience with ChatGPT, Claude, Gemini, ElevenLabs, HeyGen, Nano Banana, and Google Flow

• Proficient in Adobe Premiere Pro and After Effects

• Experience managing creative projects or teams

• Strong prompting, communication, and project management skills

• Good understanding of storytelling, content strategy, and creative execution

• Proactive, organized, and execution-focused

📍 Only Bengaluru-based candidates or candidates willing to relocate may apply.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Strong Senior AI/ML / GenAI / AI Engineer Profiles

Mandatory (Experience 1) – Must have minimum 5+ years of total software development experience, with at least 2+ years working on Gen AI / AI / LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Key Responsibilities

AI/ML & Python Development

• Design, develop, and integrate AI-powered solutions and intelligent features using Python.
• Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval and contextual AI responses.
• Develop AI applications using modern frameworks and tools such as LangChain, LlamaIndex, and AI Agents/Autonomous Workflows.
• Integrate Large Language Model (LLM) APIs, including OpenAI and similar platforms, into enterprise-grade applications.
• Design, implement, and manage vector databases to enable semantic search and AI-driven information retrieval.
• Collaborate with cross-functional teams to evaluate, fine-tune, and optimize AI models for performance, scalability, and accuracy.
• Stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation.

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

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

Experience : 5 to 12 Years

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

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

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

Mandatory Skills :

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

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

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

Ideal Candidate :

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

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

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

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

Strong AI/ML Engineer Profile

Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment

Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning

Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts

Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch

Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP

Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders

Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month

Mandatory (Note 2) : CTC is inclusive of 10% variable

Mandatory (Note 3): Candidates should be available to join within May 31st or June first week max

Founder’s Office Associate

PGAGI + Toingg | Bangalore (ON-SITE)

About Us

PGAGI is an AI-native studio building AI transformation systems and products for modern businesses.

Toingg is our AI communication OS focused on voice + text AI systems that drive measurable business outcomes.

We are currently at a high-growth stage:

• PGAGI is growing rapidly and expanding from mid-market clients into enterprise, government, and public-sector opportunities.
• Toingg is gaining strong traction, currently at ~$12K ARR with a growing pipeline capable of adding significant recurring revenue in the coming months.
• We are building in one of the fastest-moving industries globally — AI products, voice AI, automation, and AI-native communication systems.

We are now looking for one exceptionally sharp individual to work directly with the founder in the Founder’s Office.

Role Overview

This is not a conventional operations role.

As part of the Founder’s Office, you will work closely with the founder across multiple high-impact business functions, helping the company scale faster while creating structure and execution clarity.

You will operate at the intersection of:

• Business strategy
• Sales execution
• Enterprise growth
• AI-native operations
• Internal systems
• Client coordination
• Content and distribution

This role is designed for someone who thrives in high-speed environments, learns quickly, takes ownership naturally, and enjoys solving complex operational and strategic problems.

Key Responsibilities

Business & Founder Support

• Work directly with the founder on strategic initiatives and daily execution
• Assist in decision-making, research, follow-ups, and execution management
• Help prioritize opportunities and ensure operational momentum

Sales & Enterprise Growth

• Support enterprise deal execution and pipeline management
• Coordinate with potential clients, partners, and stakeholders
• Assist in government and public-sector opportunity tracking

Operations & Systems

• Build and improve internal systems and workflows
• Create operational structure across fast-moving teams
• Use AI tools to automate and optimize workflows wherever possible

AI-Native Workflow Management

• Implement and manage AI-assisted systems across departments
• Explore tools, automations, and integrations to improve execution speed
• Help scale internal productivity using AI

Client Communication & Execution

• Manage communication follow-ups and execution tracking
• Coordinate across internal teams and external stakeholders
• Ensure projects move smoothly without operational bottlenecks

Content & Distribution

• Assist with social media growth and distribution initiatives
• Support content operations and audience expansion strategies
• Contribute to scaling AI-driven content systems

Who We’re Looking For

We are looking for someone who is:

• High-agency and ownership-driven
• Extremely fast in execution
• Proactive without requiring constant supervision
• Comfortable working directly with founders
• Strong in communication and coordination
• Curious about startups, business, sales, and growth
• Comfortable balancing strategy with execution
• AI-native and comfortable using modern AI tools
• Hungry to build meaningful long-term outcomes

You do not need to know everything on Day 1.

But you must be capable of learning quickly, adapting fast, and operating with urgency.

Preferred Qualifications

Bonus points if you have:

• Prior Founder’s Office experience
• Startup operating experience
• Experience using AI tools and automation systems
• Exposure to B2B sales or enterprise deals
• Strong understanding of social media/content distribution
• Experience building operational systems
• Ability to thrive in fast-paced founder-led environments

Why This Role Matters

We are entering a critical growth phase:

• Larger enterprise opportunities
• Government and public-sector expansion
• AI communication systems scaling rapidly
• Internal AI infrastructure evolving quickly

There are significant opportunities ahead — but also increasing complexity.

We need someone who can help create order from chaos, improve execution velocity, and scale operations alongside the founder.

Compensation & Growth

What You’ll Get

• Fixed compensation
• High-performance incentives and commissions
• Direct exposure to founder-level decision-making
• Real ownership and responsibility
• Opportunity to grow into leadership roles

Long-Term Growth

This role begins with an intensive 3-month execution-focused period.

Based on performance, trust, and contribution, there is potential to:

• Move into a leadership role
• Become part of the core founding team
• Receive vested equity after 6 months

We are not looking to hire someone for “just another job.”

We are looking for someone who wants to build with us long-term.

Work Environment

Location

Bangalore (ON-SITE)

We work in a highly collaborative, fast-moving environment.

Accommodation support and basic living arrangements can also be provided for the right candidate.

Our philosophy is simple:

• Work closely
• Move fast
• Build together
• Win together

How to Apply

Send us:

• Your resume/profile
• A short note covering:
• Why this role interests you
• What you have built, operated, or executed before
• Why you believe you can work directly with a founder

We care more about ownership, execution ability, and learning speed than traditional credentials.

Job Description:

As a QA Associate at Binocs, you will play a pivotal role in ensuring the highest quality standards for our software products. With a direct reporting line to the QA Lead, you will be involved in designing, implementing, and executing test plans to identify software issues. This role is ideal for someone with a strong technical background in engineering, experience in fintech or finance software companies, and a passion for quality assurance and detail-oriented testing.

Key Responsibilities:

• Test Plan Development: Create comprehensive and well-structured test plans and test cases based on product specifications.
• Quality Assurance: Execute test cases (manual or automated) and analyze results to ensure software quality.
• Issue Documentation: Document and track bugs, as well as collaborate with the development team to ensure timely resolution.
• Process Improvement: Identify, recommend, and implement improvements in testing processes to enhance efficiency and quality.
• Software Validation: Validate that product features meet requirement specifications and are free of defects.
• Cross-functional Collaboration: Work closely with the product management and development teams to understand product vision and deliver software that aligns with customer and market needs.

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 2+ years of experience in quality assurance, preferably within fintech or finance software companies.
• Familiarity with software QA methodologies, tools, and processes.
• Experience in writing clear, concise, and comprehensive test plans and test cases.
• Hands-on experience with both white box and black box testing.
• Strong knowledge of software QA metrics, including bug tracking and reporting tools.
• Excellent analytical skills and attention to detail.
• Effective communication skills and the ability to work in a fast-paced environment.

Benefits:

Joining Binocs means being part of a passionate team dedicated to transforming the loan management landscape. We offer a dynamic, innovative environment where your work directly contributes to our vision of efficient, transparent, and data-driven loan management. Our competitive compensation package, including equity, reflects our commitment to attracting and retaining top talent.

About Us:

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

Software Development Engineer (SDE) – Mobile / Full-Stack Developer (IoT & AI)

Company: PGAGI Consultancy Private Limited 

Industry: AI & Emerging Technology Startup 

Role Type: Full-Time 

Work Mode: Work From Office 

Experience Required: Minimum 2 Years 

Location: Bangalore

About PGAGI

PGAGI Consultancy Private Limited is an AI-driven technology startup focused on building intelligent, scalable, and real-world digital solutions across AI & next-generation software systems.

We are looking for highly driven engineers who enjoy solving practical problems, building production-ready systems, and working across multiple technologies in a startup environment.

About the Role

We are looking for an SDE with strong React Native mobile development experience, full-stack development knowledge, and a clear background in IoT-based systems.

The candidate should have hands-on experience working with mobile applications that interact with IoT devices, sensors, hardware systems, real-time device data, or cloud-based IoT platforms.

Knowledge of AI-based systems, AI integrations, automation workflows, LLMs, or AI-powered product features will be considered a strong advantage.

The ideal candidate should also have basic team-leading capability, ownership mindset, and the ability to manage technical execution with a small development team.

Key Responsibilities

1. Develop and maintain mobile applications using React Native.
2. Build scalable, reusable, and production-ready mobile app components.
3. Integrate mobile applications with backend APIs, databases, and cloud services.
4. Work on IoT-based integrations, including:

• Device-to-app communication
• Sensor data handling
• Real-time device monitoring
• MQTT / WebSocket-based communication
• Hardware-software interactionIoT dashboard or control system integration

5.Collaborate with hardware, backend, frontend, AI, and product teams.

6.Work on AI-enabled features where required, such as:

• AI-based automation
• Data analysis
• AI alerts or recommendations
• LLM/API integrations
• Smart monitoring or decision-support systems

7.Lead small development tasks and guide junior developers.

8.Review code, debug issues, and improve application performance.

9.Participate in architecture planning and technical decision-making.

10.Ensure proper documentation of mobile flows, APIs, IoT integrations, and system logic.

Required Skills

• Minimum 2 years of experience in React Native mobile development.
• Strong knowledge of JavaScript / TypeScript.
• Experience in mobile app development for Android and/or iOS.
• Hands-on exposure to IoT systems or IoT-enabled applications.
• Experience working with IoT device data, sensors, MQTT, BLE, Wi-Fi modules, embedded systems, or real-time hardware communication.
• Experience with REST APIs, WebSockets, and real-time data handling.
• Basic full-stack development knowledge using Node.js, Python, FastAPI, Express.js, or similar backend technologies.
• Database knowledge such as MongoDB, PostgreSQL, Firebase, or similar.
• Understanding of Git, debugging, deployment, and development workflows.
• Ability to lead tasks, coordinate with team members, and take ownership of delivery.

AI Knowledge — Strong Priority

Candidates with knowledge or experience in the following will be preferred:

• AI-powered applications
• LLM API integrations
• OpenAI / Gemini / Claude APIs
• AI automation workflows
• AI-based monitoring or analytics
• Predictive alerts or recommendation systems
• AI agents or intelligent assistants
• Prompting and AI workflow design

Good to Have

• Experience with AWS IoT, Azure IoT, Google Cloud IoT, Firebase, or similar platforms.
• Experience with MQTT brokers, BLE, embedded hardware, Raspberry Pi, Arduino, ESP32, or similar devices.
• Native Android/iOS development knowledge.
• Experience building dashboards for IoT monitoring or device control.
• Prior experience in AI + IoT projects.
• Previous experience leading a small development team.

Candidate Expectations

• Must be comfortable working from the office.
• Should have strong ownership and problem-solving ability.
• Should be able to work across mobile, backend, IoT, and AI-related modules.
• Should communicate clearly with both technical and non-technical teams.
• Should be disciplined with timelines, documentation, and reporting.
• Should be capable of guiding junior developers and coordinating execution.

Why Join PGAGI?

- Opportunity to work on cutting-edge AI + IoT products.

- Fast learning and high-growth startup environment.

- Exposure to real-world intelligent systems and scalable architectures.

- High ownership and direct product impact.

- Collaborative engineering culture focused on innovation and execution.

We are looking for an experienced Business Analyst with 10+ years of experience to lead AI product initiatives and guide the BA team. The role involves understanding business needs, gathering requirements, creating documents like BRDs, FRDs, and user stories, and coordinating with teams such as engineering, AI/ML, QA, design, and product.

The candidate should have knowledge of AI/ML concepts, strong stakeholder management skills, and experience building products from scratch. They will also mentor junior BAs, conduct UAT testing, support Agile/Scrum processes, and help deliver AI-driven solutions successfully.

Key responsibilities include:

• Requirement gathering and solution analysis
• Stakeholder communication and workshops
• Documentation and project coordination
• UAT and QA support
• Team leadership and mentoring
• Working on AI-powered products and automation solutions
• Ensuring ethical and compliant AI practices

Preferred experience includes exposure to Generative AI, LLMs, AI agents, SaaS products, and tools like Jira, Confluence, Figma, and Miro. 

What You’ll Be Doing:

• Design and develop advanced AI/ML models to solve complex business problems
• Work closely with cross-functional teams including data engineers and domain experts
• Perform exploratory data analysis, data cleaning, and model development
• Translate business challenges into data-driven solutions and actionable insights
• Drive innovation in advanced analytics and AI/ML capabilities
• Communicate model insights effectively to both technical and non-technical stakeholders

What We’re Looking For:

• 5+ years of experience in AI/ML model development
• Strong foundation in mathematics, probability, and statistics
• Proficiency in Python and exposure to Azure Machine Learning / Databricks
• Experience with supervised & unsupervised learning techniques
• Domain exposure to Energy / Oil & Gas value chain (preferred)
• Strong problem-solving, stakeholder management, and communication skills

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1 Year

CTC: ₹12 LPA

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

About the Role

We are looking for a highly motivated Software/Hardware Engineer from premier institutes (IIT/NIT) with strong fundamentals and a passion for building scalable and efficient systems. This role offers an opportunity to work on cutting-edge technology and solve real-world problems.

Key Responsibilities

Design, develop, and optimize software/hardware solutions

Work on system architecture, debugging, and performance improvements

Collaborate with cross-functional teams (product, design, operations)

Participate in code reviews, testing, and deployment processes

Contribute to innovation and continuous improvement initiatives

Requirements

B.Tech/M.Tech from IITs/NITs (Computer Science, Electronics, Electrical, or related fields)

1 year of experience (internships/project experience considered)

Strong programming skills (C/C++/Python/Java) or hardware fundamentals (embedded systems, VLSI, circuit design)

Good understanding of data structures, algorithms, and system design

Problem-solving mindset with strong analytical skills

Preferred Skills

Experience with embedded systems, IoT, or product development

Knowledge of cloud platforms or system-level programming

Good in Computer vision, Flutter, JavaScript, AI/ML

Profile - Databricks Developer

Experience- 5+ years

Location- Bangalore (On site)

PF & BGV is Mandatory

Job Description: -

* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and Apache Spark (PySpark).

* Develop scalable, high performance data solutions using Spark distributed processing.

* Lead engineering initiatives focused on automation, performance tuning, and platform modernization.

* Implement and manage CI/CD pipelines using Git-based workflows and tools such as GitHub Actions or Jenkins.

* Collaborate with cross-functional teams to translate business needs into technical solutions.

* Ensure data quality, governance, and security across all processes.

* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.

* Participate in code reviews and develop reusable engineering frameworks.

* Should have knowledge of utilizing AI tools to improve productivity and support daily engineering activities.

* Strong knowledge and hands-on experience in Databricks Genie, including prompt engineering, workspace usage, and automation

. Required Skills & Experience:

* 5+ years of experience in Data Engineering or related fields.

* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).

* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).

* Strong proficiency in Python for data processing, automation, and framework development.

* Strong proficiency in SQL, including complex queries, performance tuning, and analytical functions.

* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.

* Strong experience with CI/CD and Git-based development workflows. * Proficiency in data modeling and ETL/ELT pipeline design.

* Experience with automation frameworks and scheduling tools.

* Solid understanding of distributed systems and big data concepts

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1.5+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

Job Title : Azure Data Scientist (AI/ML)

Experience : 5 to 10 Years

Location : Bengaluru

Work Mode : Hybrid (4 Days WFO, Tue to Fri – Non-Negotiable)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a highly skilled Azure Data Scientist with strong expertise in AI/ML, Python, and cloud-based data platforms. The role involves building scalable ML solutions, working on GenAI & RAG use cases, and delivering business impact through data-driven insights.

🔥 Mandatory Skills :

Python, Azure Machine Learning, Databricks, AI/ML model development (5+ yrs), Statistics & Probability, EDA & Data Modeling, Machine Learning algorithms, GenAI/RAG experience

✅ Key Responsibilities :

• Design, develop, and deploy AI/ML models to solve complex business problems
• Perform Exploratory Data Analysis (EDA) for data cleaning, discovery, and insights
• Build and optimize ML pipelines using Azure Machine Learning & Databricks
• Work on GenAI applications, RAG implementations, and advanced analytics solutions
• Collaborate with data engineers, business stakeholders, and domain experts
• Translate complex data into actionable business insights
• Manage model lifecycle (development, validation, deployment, monitoring)
• Communicate model outputs and insights to technical & non-technical stakeholders
• Drive innovation and contribute to AI/ML best practices and strategy

🧠 Required Skills (Must Have) :

• Strong experience in Python (ML/AI development)
• Hands-on with Azure Machine Learning & Databricks
• Deep understanding of Mathematics, Probability, and Statistics
• Expertise in Machine Learning & Data Science methodologies
• Experience in EDA, data visualization, and model development
• Exposure to GenAI, RAG, and ML application development
• Minimum 5+ years of experience in AI/ML model development
• Strong problem-solving and analytical skills

➕ Good to Have :

• Experience with MLOps practices
• Domain knowledge in Energy / Oil & Gas value chain
• Experience in data visualization tools
• Team collaboration or mentoring experience

🤝 What We’re Looking For :

• Strong communication & stakeholder management skills
• Ability to work in a cross-functional, global team environment
• Self-driven, adaptable, and innovation-focused mindset

📝 Interview Process :

1. Geektrust Assessment (Assemble)
2. Technical Interview
3. Fitment Round
4. Client Round

About the Role

Qiro is building the infrastructure powering the next generation of underwriting, credit analytics, and tokenized private credit markets.

We are looking for a Tech Lead — Credit & Blockchain Infrastructure to lead the architecture and execution of our core systems — spanning underwriting engines, credit lifecycle workflows, and blockchain-integrated capital markets infrastructure.

This is not a feature delivery role. This is a system ownership role.

You will be hands-on while leading a growing engineering team in a fast-moving, in-office environment.

What You’ll Own

• Define and evolve the long-term technical vision for Qiro’s programmable credit infrastructure — architecting cohesive systems that unify underwriting engines, credit lifecycle workflows, and tokenized capital markets.
• Own the end-to-end architecture of scalable backend platforms (Python and/or TypeScript), establishing clear boundaries between risk logic, platform APIs, and smart contract integrations while ensuring scalability, auditability, and extensibility.
• Build and standardize configurable underwriting and credit lifecycle systems — from onboarding and drawdown orchestration to repayment waterfalls and early closures — ensuring deterministic, traceable financial state transitions at institutional scale.
• Set integration and infrastructure standards across API contracts, data models, validation layers, and event-driven architectures, enabling reliable synchronization between off-chain services and on-chain contracts.
• Architect secure and resilient blockchain integrations, including wallet interactions, capital flow coordination, and observable on-chain/off-chain state reconciliation.
• Lead high-impact, cross-product initiatives from RFC and system design through production launch — validating architectural decisions, aligning stakeholders, and delivering measurable improvements in reliability, performance, and developer velocity.
• Elevate reliability and operational excellence by defining SLOs, strengthening CI/CD and observability practices, reducing latency, and minimizing systemic risk in financial workflows.
• Build and scale the engineering organization — mentoring senior engineers, shaping hiring standards, driving architecture reviews, and fostering a culture of ownership, craftsmanship, and first-principles thinking.
• Partner closely with Product, Design, Security, and Operations to translate complex lending and capital market mechanics into simple, robust platform primitives.

Who You Are

• 6-8+ years of engineering experience, with 3+ years in technical leadership roles.
• Strong backend architecture experience in Python and/or TypeScript.
• Comfortable designing distributed systems and financial workflows.
• Experience building fintech, lending, underwriting, trading, or blockchain-integrated systems.
• Strong understanding of API design, state management, and data modeling.
• Able to navigate ambiguity and build 0→1 infrastructure.
• Hands-on builder who leads by writing production-grade code.

We Value

• Experience with underwriting engines or policy-driven decision systems.
• Exposure to smart contracts and blockchain integrations.
• Familiarity with PostgreSQL and event-driven architectures.
• Experience in early-stage or high-growth startups.
• Strong product thinking and ability to translate complex financial logic into scalable systems.

Why Join Qiro

• Lead the architecture of a programmable credit infrastructure platform.
• Join the founding technical leadership team.
• High autonomy and ownership — your decisions shape the company.
• In-office collaboration in Bangalore for speed and iteration.
• Competitive compensation and meaningful equity.

Our Culture

We operate with:

• First-principles thinking
• Technical craftsmanship
• High ownership
• Fast execution with long-term architectural discipline

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Generative AI System Design

• Architect and implement end-to-end LLM-powered applications
• Build scalable RAG pipelines (chunking, embeddings, hybrid search, reranking)
• Design and implement agent-based workflows (tool calling, multi-step reasoning, orchestration)
• Integrate LLM APIs such as OpenAI and Anthropic, along with open-source models
• Implement structured output validation, grounding strategies, and hallucination mitigation
• Optimize inference cost, latency, and token efficiency
• Design evaluation pipelines for performance, accuracy, and safety

2️⃣ Backend & Microservices Engineering

• Design scalable backend systems using Python
• Build REST and async APIs using FastAPI / Django
• Architect and implement microservices with clear service boundaries
• Implement service-to-service communication (REST, gRPC, event-driven messaging)
• Work with message brokers (Kafka / RabbitMQ)
• Optimize database performance (PostgreSQL, MongoDB)
• Implement caching strategies (Redis)
• Build observability: logging, monitoring, distributed tracing

3️⃣ Cloud-Native Architecture & DevOps

• Design and deploy containerized services using Docker
• Orchestrate services using Kubernetes
• Implement CI/CD pipelines
• Ensure system scalability, resilience, and fault tolerance
• Apply distributed systems principles:
• Circuit breakers
• API gateway patterns
• Load balancing
• Horizontal scaling
• Saga patterns
• Zero-downtime deployments

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred
• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.