- Build and deploy modern web applications that are performant, modular, and secure.

- Implement API authentication and authorization using OAuth2, JWT, or session-based approaches.

- Work with frontend teams to integrate APIs and ensure smooth end-to-end flows.

- Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker.

GenAI Application Development :

- Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows.

- Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows.

- Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc.

Database and Backend Integration :

- Work with relational databases like PostgreSQL and MySQL.

- Write efficient and scalable queries for large-scale datasets.

- Experience with AWS/GCP/Azure is a plus.

Ideal Candidate :

- Strong Python Backend Engineer Profile with hands-on GenAI capabilities.

- Must have 3+ years of experience in application development using Python (Django) with at least 6 months of hands-on experience building GenAI applications in production.

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

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

- Must have experience building RAG pipelines using vector databases such as Pinecone or PGVector.

- Must have experience with relational databases (PostgreSQL, MySQL) and writing efficient, scalable queries.

- Must have a good understanding of software design principles, code modularity and version control (Git).

- Must have a full-time B.E./B.Tech degree, with a minimum of 60% throughout (10th, 12th and B.E./B.Tech). Only B.E./B.Tech is considered.

- Must have good communication skills in both English and Hindi.