Generative AI

Infosys; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infosys is seeking a hands-on engineer to build Python-based GenAI and AWS Bedrock solutions. You will contribute to RAG pipelines, agent workflows, and production-ready AI features under senior guidance.

Key responsibilities include developing GenAI features, implementing RAG pipelines, integrating LLMs with enterprise apps, and maintaining CI/CD pipelines. You will collaborate with architects, seniors, and QA teams to ensure robust, scalable AI solutions.

Qualifications

• Must have strong Python programming skills with solid OOP and testing basics.
• Experience with GenAI features and building RAG pipelines.
• Familiarity with LangChain or LangGraph for agent workflows.
• Knowledge of integrating LLMs with APIs and enterprise apps.
• Understanding of DevOps basics and CI/CD tooling.

Responsibilities

• Develop GenAI features and workflows using Python and AWS Bedrock.
• Implement RAG pipelines (chunking, embeddings, retrieval, grounding).
• Build single/multi-step agent workflows using LangChain / LangGraph.
• Integrate LLMs with APIs, tools, and enterprise applications.
• Write tested, maintainable Python code with CI/CD pipelines.
• Monitor latency, token usage, and cost metrics.
• Collaborate with architects, seniors, and QA teams.

Skills

Python programming

GenAI concepts

RAG pipelines

CI/CD basics

Communication

Tools

AWS Bedrock

LangChain

LangGraph

Git

CI/CD pipelines

Docker basics

Job description

Role & responsibilities

Role & responsibilities Handson engineer to build Pythonbased GenAI and AWS Bedrock solutions, contributing to RAG pipelines, agent workflows, and production-ready AI features under senior guidance. Key Responsibilities

• Develop GenAI features and workflows using Python and AWS Bedrock
• Implement RAG pipelines (chunking, embeddings, retrieval, grounding)
• Build single/multi-step agent workflows using LangChain / LangGraph
• Integrate LLMs with APIs, tools, and enterprise applications
• Write tested, maintainable Python code with CI/CD pipelines
• Monitor basic latency, token usage, and cost metrics
• Collaborate with architects, seniors, and QA teams

MustHave Skills Python - Core concepts: OOP, typing, modules, pytest/unittest, fixtures, basic asyncAWS Bedrock - Model invocation (Claude/Titan, etc.), Knowledge bases or retrieval integration, basic understanding of guardrails & access controlsGenerative AI - Prompting (system, few-shot), RAG types and approaches, Basic evaluation awareness, LangChain / LangGraph , Simple agent flows and routingDevOps Basics - Git, PRs, CI pipelines, Docker basics, artifacts Good to HaveVector DB exposure (OpenSearch, FAISS, Pinecone, etc), Kubernetes awareness, ML basics (metrics, crossval, leakage awareness), Understand requirements clearly, Good communication and learning mindset & Team-oriented execution.