Job Description:

- 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
- Solid 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

📌 Python Developer - Agentic AI / LLM / RAG Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru