Job highlights

- 5+ years Python development with expertise in Generative AI, LangChain, LangGraph, RAG applications, and vector databases
- Develop and deploy GenAI applications, build agentic workflows, design RAG pipelines, integrate LLMs and vector databases, deliver scalable AI solutions

JD- Python GenAI Engineer Minimum 5 Years Experience Required

Required Skills & Qualifications

- Strong Python development experience
- Hands-on experience with Generative AI / LLMs
- Mandatory: LangChain and LangGraph
- Experience building RAG applications
- Experience with OpenAI, Azure OpenAI, Claude, or Gemini
- FastAPI/Flask development experience
- Knowledge of vector databases (FAISS, Chroma, Pinecone, Weaviate)
- Understanding of AI Agents / Multi-Agent architectures

Nice to Have

- CrewAI, AutoGen, PydanticAI, Semantic Kernel
- AWS, Azure, or GCP




- Docker, Kubernetes, CI/CD
- Responsibilities
- Develop and deploy GenAI applications using Python
- Build agentic workflows using LangChain and LangGraph
- Design and optimize RAG pipelines
- Integrate LLMs and vector databases
- Deliver scalable, production-ready AI solutions

Experience: 5+ Years Role: Senior Python GenAI Engineer

Location: Bangalore

Were conducting an in-person interview drive on Saturday, 24th October 2026 in Gurgaon Office. If you're interested in exploring this chance, please share your updated CV at [email protected] and feel free to contact me at (phone hidden) for more details.

📌 Python Fullstack Developer (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru