About the Role :

We're hiring a Python engineer who can build reliable backend systems and is equally at home wiring up LLM-driven workflows. You'll split your time between core API development and building GenAI-powered features using LangChain, LangGraph, and RAG pipelines.

What You'll Work On :

- Architect, build, and maintain scalable REST APIs with Django, Flask, or FastAPI.

- Ship modern web applications that are performant, modular, and secure by design.

- Set up authentication and authorization flows (OAuth2, JWT, session-based).

- Partner with frontend engineers to integrate APIs and keep end-to-end flows smooth.

- Follow Git-based CI/CD practices using GitHub/GitLab, Jenkins, or Docker.

- Build LLM-orchestrated applications using LangGraph and LangChain.

- Wire up OpenAI, Anthropic, HuggingFace, or custom LLMs into production systems.

- Build and tune RAG pipelines on vector databases like Pinecone or PGVector.

- Work with PostgreSQL/MySQL and write efficient queries for large datasets.

- Bring cloud experience (AWS/GCP/Azure) to the table where relevant.

What You'll Need :

- 3 - 4+ years building applications with Python/Django.

- Strong hands-on experience building and consuming REST APIs.

- Practical experience with LangGraph, LangChain, and the broader GenAI toolchain.

- Working experience with LLMs - OpenAI GPT-4, Claude, Llama, or similar.

- Solid grounding in software design principles, modular code, and Git-based workflows.