GenAI / Agentic AI Engineer

Infosys; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Infosys is seeking a developer to create GenAI features and workflows using Python and AWS Bedrock. The role involves implementing RAG pipelines and building workflows with LangChain. Strong collaboration with architects and QA teams is essential.

Key skills required include proficiency in Python, AWS Bedrock model invocation, and an understanding of DevOps practices. Join us in advancing Generative AI solutions!

Qualifications

• Strong understanding of OOP, typing, and modules in Python.
• Experience with AWS Bedrock model invocation and AI integration.
• Knowledge of DevOps practices and CI/CD pipelines.

Responsibilities

• Develop GenAI features and workflows using Python and AWS Bedrock.
• Implement RAG pipelines effectively.
• Collaborate with teams to integrate LLMs with APIs.

Skills

Python

AWS Bedrock

LangChain

DevOps

Job description

Must Have Skills

Python - Core concepts: OOP, typing, modules, pytest/unittest, fixtures, basic async AWS Bedrock - Model invocation (Claude/Titan, etc.), Knowledge bases or retrieval integration, basic understanding of guardrails & access controls Generative AI - Prompting (system, few-shot), RAG types and approaches, Basic evaluation awareness, LangChain / LangGraph , Simple agent flows and routing DevOps Basics - Git, PRs, CI pipelines, Docker basics, artifacts

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