Role & responsibilities

- Design and develop RESTful APIs using FastAPI
- Build and manage LLM-based applications using LangChain
- Develop and orchestrate agent workflows using LangGraph
- Implement RAG-based solutions and prompt orchestration
- Design and build conversational AI applications (chatbots / virtual assistants)

- Integrate AI solutions with

- Enterprise systems

- APIs

- Knowledge bases
- Deploy and manage applications in Azure cloud environments
- Ensure applications are optimized for performance, scalability, and reliability
- Collaborate with UI, DevOps, and backend teams for end-to-end implementation
- Write clean, maintainable, and production-grade code

Preferred candidate profile

- Solid experience in Python development
- Hands-on experience with:

- FastAPI (API development)
- LangChain (LLM orchestration, chaining workflows)
- LangGraph (agent orchestration, state-driven workflows)

- Experience in building
- GenAI / LLM-based applications
- Backend services with API integrations

- Understanding of
- Prompt engineering and LLM usage patterns
- RESTful API design and microservices architecture

- Familiarity with

- Databases (SQL/NoSQL)

- Version control systems (Git)

📌 Walk-in || Python Developer || 4 To 6 years || Bangalore (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru