Python Developer - Agentic AI / LLM / RAG Engineer

TymblHub; Bengaluru, Pune District; On-site; INR 1,040,000 - 1,160,000; Full time

Job summary

Infosys Limited in Bengaluru, India seeks a Python Developer with expertise in Agentic AI, LLMs, and RAG to design and deploy AI solutions. You will build AI agents, integrate LLM-powered apps, and optimize AI workflows for enterprise use cases, working with LangChain, vector stores, and cloud AI services. The role targets JL3/JL4 levels, 1–6 years experience.

Qualifications

• Proficient Python development for AI applications.
• Experience with Agentic AI and RAG architectures.
• Experience with LLMs and deployment of AI solutions.

Responsibilities

• Develop and maintain AI applications using Python.
• Design and implement Agentic AI systems with frameworks like LangChain, LangGraph, CrewAI or AutoGen.
• Build and optimize RAG pipelines using vector databases and retrieval frameworks.
• Integrate and fine-tune LLMs including OpenAI, Azure OpenAI, Llama, Claude, Gemini.
• Develop APIs and microservices for AI applications.
• Implement prompt engineering and workflow orchestration.
• Create scalable solutions on Azure, AWS, or GCP.
• Monitor model performance and improve accuracy and response quality.

Skills

Python development

Agentic AI

LLMs

RAG architectures

Education

Bachelor of Engineering

Tools

LangChain

LangGraph

CrewAI

AutoGen

LlamaIndex

Azure OpenAI

Vector databases

Job description

# Python Developer - Agentic AI / LLM / RAG EngineerInfosys LimitedPosted on October 22, 2026---Experience1 - 6 yrsSalary (CTC)₹10.4L - ₹11.6LJob LocationBengaluru, IndiaVacancy1DesignationPython DeveloperJob TypeNot specified---## Job Description**Job Summary**Job Title: Python Developer - Agentic AI / LLM / RAG EngineerJob Level: JL3 / JL4 (Based on Experience) 1-6 YrsLocation: Bangalore/ PuneWe 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.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 Requirement* 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 Responsibility 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, MLOpsEducational RequirementBachelor of EngineeringService LineCloud Infrastructure Services