Description

You will design, build, and deploy production-grade AI applications and backend services. Your work bridges Python backend development with generative AI integrations, ensuring reliable LLM workflows and scalable API architecture.

This role is on-site.

Responsibilities

• Design and develop RESTful APIs and web services using Python frameworks including Flask, Django, and FastAPI.
• Build and integrate generative AI features, leveraging state-of-the-art LLMs and generative models into product functionality.
• Develop and optimize LLM applications using LangChain and LangGraph, handling orchestration for natural language understanding and generation.
• Implement scalable AI components and ensure reliable deployment in production environments.
• Perform code reviews, testing, and validation to maintain accuracy, performance, and maintainability of backend and AI systems.

Required Skills

• 5+ years of relevant experience in Python backend and GenAI/LLM engineering.
• Strong proficiency in Python backend development with Django, Flask, and FastAPI.
• Hands-on experience implementing LLM application workflows using LangChain and LangGraph.
• Experience working with Claude Code for GenAI development and integration.
• Proven track record of building and integrating LLM-based solutions.
• Bachelor’s degree in Engineering (B.Tech/BE) or equivalent technical qualification.

Preferred Skills

• Experience with OpenAI API integrations.
• Implementation of Retrieval-Augmented Generation (RAG) architectures.

Key Skills

Education

Any Graduate