Job Summary

We are looking for an experienced Python Developer with robust expertise in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience building and deploying AI-powered applications using Python, LangChain/LangGraph, and FastAPI.

Key Responsibilities
Design, develop, and maintain scalable backend applications using Python.
Build and implement Generative AI solutions using LLMs.
Develop and optimize RAG-based applications and pipelines.
Work with LangChain and LangGraph to build LLM-powered workflows and AI agents.
Develop RESTful APIs and backend services using FastAPI.
Integrate LLMs with enterprise applications, databases, and external services.
Implement prompt engineering, context management, and response optimization.
Work on vector databases and embedding models for semantic search.
Ensure application scalability, performance, security, and reliability.




Collaborate with cross-functional teams to deliver AI-driven solutions.

Mandatory Skills
Solid hands-on experience in Python development.
Practical experience with Generative AI and LLMs.
Strong understanding and implementation experience of RAG architecture.
Hands-on experience with LangChain and/or LangGraph.
Experience developing REST APIs using FastAPI.
Good understanding of LLM integration and prompt engineering.

Positive to Have Skills
Experience with OpenAI, Azure OpenAI, or other LLM providers.
Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
Experience with embeddings and semantic search.
Knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure).
Exposure to AI agents and multi-agent systems.
Experience with CI/CD and production deployment of AI applications.

Skills:- Python, Generative AI (GenAI), RAG and LangGraph

📌 Python With Genai Bengaluru (India)
🏢 VY SYSTEMS PRIVATE
📍 India