AGENTIC AI ENGINEER

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Agentic AI Engineer

Infosys

Bengaluru

4-10 years

1 day ago

$26.5K–41.0K/yr

Full-time

Onsite

Skills Required

LLM

RAG

Gen AI

LangChain

AWS Bedrock

Python

LangGraph

Git

CI/CD

Docker

Pytest

unittest

Description

Infosys Limited is hiring a GenAI / Agentic AI Engineer in the Strategic Technology Group. The role focuses on building GenAI features, RAG pipelines, and agent workflows with Python and AWS Bedrock.

Company: Infosys Limited

Role: GenAI / Agentic AI Engineer

Location: Bangalore

Experience

• 4 - 10 Years
  
  

Qualification

• Bachelor of Engineering
  
  

Responsibilities

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

Nice To Have

• Technology->AI-Generative AI->Artificial Intelligence - BASIC
• Technology->AI-Data science->PYTHON
• Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)
  
  

More Skills

Agentic AI, chunking, embeddings, retrieval, grounding, APIs, enterprise applications, CI/CD pipelines, latency metrics, token usage metrics, cost metrics, OOP, typing, modules, fixtures, basic async, Claude, Titan, Knowledge bases, retrieval integration, guardrails, access controls, prompting, system prompting, few-shot prompting, RAG types and approaches, basic evaluation awareness, simple agent flows, routing, PRs, CI pipelines, artifacts

Other

• Job ID/Reference Code: INFSYS-EXTERNAL-245889
• Service Line: Strategic Technology Group
  
  

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

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