Senior Python GenAI Engineer, Pune, Maharashtra

About the Role

We're building the next generation of intelligent applications powered by LLMs and GenAI . Join our AI product team as a GenAI Engineer where you’ll architect and implement APIs using FastAPI , create engaging frontends with Angular , and work with MongoDB as the primary data store. Your code will directly power AI experiences for real users.

What You’ll Do

- Build scalable and production grade AI systems involving big data queries.
- Build MCP based Agentic AI chat bot dealing with intent classification, agent state management, etc.
- Build scalable REST APIs in FastAPI to integrate with LLM APIs (OpenAI, Claude, Azure OpenAI, etc.)
- Manage and query structured/unstructured data in MongoDB
- Work closely with AI engineers to productionize GenAI use cases (chatbots, summarization, classification, embedding search)
- Design token-efficient API interactions and manage rate limits with LLM providers
- Optimize performance, latency, and reliability of AI-enhanced APIs
- Maintain clean, secure, and testable code across backend and frontend
- Own end-to-end features: from UX to backend logic to API integration

Must-Have Skills:




- 7+ years of experience in full stack development
- Solid hands-on experience with FastAPI (or Flask/Django) and Python 3.x
- Strong hands-on experience with LangChain, LangGraph, Agentic AI and openAI LLM.
- Strong hands-on experience with Multi Agentic AI systems.
- Strong hands-on experience with MCP based AI architectures.
- Solid experience with MongoDB (including schema design and aggregation pipelines)
- Experience integrating with LLM APIs (e.g. OpenAI, Anthropic, Cohere, Mistral, Azure OpenAI, etc.)
- Deep understanding of RESTful API design and best practices
- Git, Docker, and familiarity with CI/CD pipelines

Nice to Have
- Familiarity with prompt engineering , embeddings, vector databases (like Pinecone , FAISS , Weaviate )
- UI/ Angular knowledge.
- Experience working on GenAI-driven UIs (chat interfaces, knowledge panels, QCA)
- Knowledge of JWT , OAuth2 , API rate limiting strategies
- Basic understanding of LLM token usage , context length constraints, and caching
- Experience with PostgreSQL or hybrid Mongo/Postgres data models
- DevOps awareness: Kubernetes, cloud deployment (AWS/Azure/GCP)

📌 Senior Software Engineer (Pune)
🏢 Nielseniq
📍 Pune