Senior Python Backend Engineer – GenAI/LLM (LangChain, RAG, FastAPI)

Read jd before applying

Experience 3-6 years only.

Strong Python Backend Engineer Profile with hands-on GenAI capabilities

Mandatory (Experience 1) – Must have 3+ years of experience in application development using Python (Django) with atleast 6 months of hands on experience building GenAI applications in production

Mandatory (Tech skill 1) – Must have strong proficiency in Python with a backend framework (Django, Flask or FastAPI) and developing/consuming RESTful APIs.

Mandatory (Tech skill 2) – Must have hands-on experience integrating LLMs (OpenAI GPT-4, Claude, Llama or similar) into production and orchestrating LLM workflows (LangGraph, LangChain)

Mandatory (Tech skill 3) – Must have experience building RAG pipelines using vector databases such as Pinecone or PGVector.

Mandatory (Tech skill 4) – Must have experience with relational databases (PostgreSQL, MySQL) and writing efficient, scalable queries.

Mandatory (Tech skill 5) – Must have a good understanding of software design principles, code modularity and version control (Git).