Gen AI/Agentic AI/Python Gen AI

Infosys; Bengaluru; On-site; INR 900,000 - 2,000,000; Full time

Job summary

Infosys is seeking a Python Developer specializing in Agentic AI, LLMs, and RAG to design, develop, and deploy AI solutions. You will build AI agents, integrate LLM-powered apps, and optimize AI workflows for enterprise use cases.

The role covers API/microservice development, prompt engineering, orchestration, and collaboration with cross-functional teams to translate requirements into AI-driven outcomes. Proficiency in Python and cloud services is essential.

Qualifications

• Proficient in Python with hands-on experience in AI tooling and LLM workloads.
• Experience designing and deploying Agentic AI systems and RAG pipelines.
• Familiarity with vector databases and retrieval frameworks; practical exposure to LangChain/LangGraph ecosystems.

Responsibilities

• Develop and maintain AI applications using Python.
• Design and implement Agentic AI systems with modern frameworks.
• Build and optimize RAG pipelines using vector databases.
• Integrate and fine-tune LLMs such as OpenAI, Azure OpenAI, Llama, Claude, Gemini.
• Develop APIs and microservices for AI applications.
• Implement prompt engineering, workflow orchestration, and AI agent collaboration patterns.
• Create scalable solutions on Azure, AWS, or GCP.
• Monitor and improve model performance and response quality.
• Collaborate with business and tech teams to translate requirements into AI solutions.

Skills

Python

LLMs

Agentic AI

RAG architectures

LangChain

LangGraph

CrewAI

AutoGen

LlamaIndex

Vector databases

REST APIs

FastAPI

Git

CI/CD

Docker

Kubernetes

Azure OpenAI

Education

Bachelor of Engineering

Tools

LangChain

LangGraph

CrewAI

AutoGen

LlamaIndex

Pinecone

ChromaDB

Weaviate

FAISS

Azure AI Search

Git

CI/CD

Docker

Kubernetes

FastAPI

REST APIs

Job description

Job Summary

• Job Title: Python Developer - Agentic AI / LLM / RAG Engineer
• Job Level: JL3 / JL4 (Based on Experience) 1-6 Yrs
• Location: Bangalore/ Pune

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.

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 framework.
• 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, MLOps

Educational Requirement

Bachelor of Engineering

Service Line

Cloud Infrastructure Services