Full Stack Generative AI Developer

Full-Stack - GenAI

Location : Bangalore - Whitefield (Hybrid)

Experience : 5 - 8 years

About the Role :

End-to-end developer responsible for building GenAI/AI-powered proof-of-concepts, prototypes, and applications within the innovation POD. Will work closely with the Innovation Manager and Data Science/Prompt Engineer to deliver functional solutions rapidly. The role requires someone who can independently take an idea from concept to working prototype.

Key Responsibilities :

- Design and develop end-to-end PoC solutions covering both frontend and backend

- Build AI-powered applications, dashboards, and automation tools

- Integrate GenAI/LLM APIs and services into business applications

- Deploy and manage solutions on Microsoft Azure cloud platform

- Collaborate with the Data Science/Prompt Engineer to build AI-driven features

- Ensure code quality, documentation, and reusability of solutions

- Participate in innovation brainstorming and technical feasibility assessments

- Present technical demos and walkthroughs to client stakeholders

- Develop and deploy scalable Generative AI and LLM-based solutions on Azure or GCP or AWS

- Agentic AI Development : Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries. Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.

- RAG Pipelines : Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.

- Integrate AI models with business applications and build scalable APIs (e.g., FastAPI, Flask) and microservices.

- Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.

- Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.

Must-Have Skills :

- 5 - 8 years of full-stack development experience

- Strong proficiency in Python

- Strong proficiency in React (frontend)

- Experience with Microsoft Azure stack (Azure App Services, Azure Functions, Azure AI Services)

- Experience integrating REST APIs and working with microservices architecture

- Knowledge of databases (SQL and NoSQL)

- Good communication skills for client-facing interactions

Good to Have :

- Experience with Azure OpenAI Service and Azure AI Foundry

- Familiarity with CI/CD pipelines and Azure DevOps

- Curiosity to test latest technologies for both implementing and enhancing work (Codex, GPT, Copilot)

Required Skills & Qualifications :

- Programming : Strong proficiency in Python is mandatory, including OOP concepts and best coding practices.

- Cloud Expertise : Delivered Gen AI or ML projects in cloud (AWS/GCP/Azure).

- AI Frameworks : Familiarity with LLM frameworks and libraries such as Google ADK, LangChain, LlamaIndex, or similar frameworks.

- AI Techniques : Strong understanding of RAG architectures, prompt engineering, model optimization, and performance evaluation methodologies.

- Infrastructure : Experience with MLOps practices, CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure automation tools like Terraform is a plus.