AGENTIC AI ENGINEER

Top Gen AI Jobs; Bengaluru; On-site; INR 2,536,000 - 3,923,000; Full time

Job summary

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.

Location: Bengaluru. Experience required: 4–10 years. Onsite full-time role in Bangalore with collaboration across architects, seniors, and QA teams.

Qualifications

• 4–10 years of hands-on GenAI/Agentic AI experience
• Bachelor of Engineering degree
• Strong Python and AWS Bedrock knowledge

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

Skills

LLM

RAG

Gen AI

LangChain

AWS Bedrock

Python

LangGraph

Git

CI/CD

Docker

Pytest

unittest

Education

Bachelor of Engineering

Tools

N/A

Job description

Job Description:

Home/Jobs/Agentic AI Engineer

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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