Python Developer - Agentic AI / LLM / RAG Engineer

• Job Title Python Developer Agentic AI LLM RAG Engineer
• Job Level JL3 JL4 Based on Experience 1 6 Yrs
• Location Bangalore Pune
• Job Summary
• We are seeking a skilled Python Developer with expertise in Agentic AI Large Language Models LLMs and Retrieval Augmented Generation RAG to design develop and deploy intelligent AI solutions
• The candidate will be responsible for building AI agents integrating LLM powered applications implementing RAG architectures and optimizing AI workflows for enterprise use cases

Key Responsibilities:

• Key Responsibilities
• Develop and maintain AI applications using Python
• Design and implement Agentic AI systems using frameworks such as LangChain LangGraph CrewAI AutoGen or similar
• Build and optimize RAG pipelines using vector databases and retrieval frameworks
• Integrate and fine tune Large Language Models LLMs including OpenAI Azure OpenAI Llama Claude Gemini or similar
• Develop APIs and microservices for AI applications
• Implement prompt engineering workflow orchestration and AI agent collaboration patterns
• Create scalable solutions using cloud platforms such as Azure AWS or GCP
• Monitor evaluate and improve AI model performance accuracy and response quality
• Collaborate with business and technology teams to translate requirements into AI driven solutions

Technical Requirements:

• Required Skills
• Strong programming experience in Python
• Hands on experience with LLMs Generative AI Agentic AI and RAG architectures
• Experience with LangChain LangGraph CrewAI AutoGen LlamaIndex or equivalent frameworks
• Knowledge of vector databases such as Pinecone ChromaDB Weaviate FAISS or Azure AI Search
• Experience with REST APIs FastAPI Flask or Django
• Understanding of embeddings semantic search prompt engineering and model evaluation
• Experience with Git CI CD and software development best practices
• Knowledge of cloud AI services Azure OpenAI preferred
• Preferred Skills
• Experience with multi agent architectures and AI orchestration
• Knowledge of MLOps model deployment and containerization Docker Kubernetes
• Exposure to NLP machine learning and deep learning concepts
• Experience with enterprise AI governance security and responsible AI practices

Additional Responsibilities:

• Technology Stack
• Technology Artificial Intelligence Automation
• Skill Category Python Development Agentic AI LLM RAG Generative AI
• Primary Skills Python LangChain LangGraph CrewAI Azure OpenAI RAG Vector Databases
• Secondary Skills FastAPI Docker Kubernetes Azure AI Search MLOps

Preferred Skills:

Technology->AI-Agentic AI->AgentOps,Technology->AI-AI Engineering->LLMOps,Technology->AI-Generative AI->Generative AI - Basic->chains,Technology->AI-Responsible AI->Responsible AI,Technology->Open System->Open System- ALL->Python,Technology->OpenSystem->Python - OpenSystem->Python