GenAI / Agentic AI Engineer
Infosys · Bengaluru · onsite · Posted 57d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
Educational Requirements
Bachelor of Engineering
Service Line Topaz COE unit
Responsibilities 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.
Technical and Professional Requirements: - 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
- Technology->OpenSystem->Python - OpenSystem->Python
- Technology->AI-Data science->PYTHON
- Technology->AI-Generative AI->Generative AI - Basic
Sourced from naukri
Skills
QADevopsDockerapisaws bedrockamazon web servicesOOPenterprise applicationsai engineerPythonGenerative AiGITData ScienceArtificial Intelligence
About Infosys

Infosys
IT Services & Consulting
323.6k+
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1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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