Job Summary

We are looking for a skilled Python Developer with strong software engineering fundamentals and hands-on experience in building applications using Generative AI and agent-based frameworks. The ideal candidate should have practical exposure to LangChain, RAG pipelines, and multi-agent AI workflows.

Key Responsibilities:

• Design, develop, and maintain scalable Python applications using clean coding best practices.
• Build and optimize GenAI applications including RAG pipelines and LLM-based solutions.
• Develop and implement chunking, document preprocessing, embeddings, and vector database workflows.
• Implement LLM orchestration patterns including function calling and tool integration.
• Build and manage AI agent workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
• Ensure code quality through proper testing, version control, and CI/CD practices.

Required Skills:

• Strong experience in Python development
• Solid understanding of OOP, design patterns, and clean coding principles
• Experience with LangChain (chains, RAG pipelines, tool integrations)
• Working knowledge of GenAI concepts: chunking, embeddings, vector DBs, RAG
• Experience with agent frameworks: LangGraph / CrewAI / AutoGen or similar
• Exposure to LLM orchestration and function calling
• Knowledge of version control and CI/CD pipelines

Good to Have:

• Experience working with OpenAI, Azure OpenAI, or similar Large Language Models
• Familiarity with vector databases like Pinecone, FAISS, ChromaDB, etc.
• Experience building production-level AI applications