Hiring For Agentic AI

Hiring for Infosys Hyderabad, India · Pune, India · Bengaluru, India

About the role

This is a full-time hybrid agentic AI engineering role for enterprise projects in Hyderabad, Pune, or Bengaluru, India. You will build LLM-powered agents, multi-agent workflows, retrieval systems, integrations, and scalable Python services. The role suits professionals with 3 to 8 years of experience in generative AI, LLM orchestration, cloud deployment, and production operations.

What you’ll do

  • Design and develop AI agents and multi-agent systems for enterprise use cases.
  • Build workflows with LangChain, LangGraph, AutoGen, CrewAI, or similar tools.
  • Develop LLM applications using OpenAI, Azure OpenAI, Gemini, Claude, or equivalent models.
  • Implement RAG pipelines with vector databases and enterprise knowledge sources.
  • Connect agents to APIs, databases, enterprise applications, search engines, and external tools.
  • Build planning, reasoning, memory, tool-calling, decomposition, and decision capabilities.
  • Create prompt strategies and improve response accuracy and reliability.
  • Implement evaluation, monitoring, guardrails, observability, and responsible AI practices.
  • Fine-tune or customize models and improve inference performance where needed.
  • Deploy AI services on AWS, Azure, or GCP using containers and CI/CD.
  • Troubleshoot application performance, scalability, security, and reliability.

What they’re looking for

  • Three to eight years of relevant experience.
  • Strong Python programming skills.
  • Hands-on experience with generative AI and LLMs.
  • Strong understanding of agentic AI and autonomous workflows.
  • Experience with LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks.
  • Knowledge of RAG, embeddings, vector databases, semantic search, and knowledge retrieval.
  • Experience with prompt engineering, LLM orchestration, REST APIs, tools, and function calling.
  • Knowledge of FastAPI, Flask, or similar Python frameworks.
  • Experience with PostgreSQL, MongoDB, SQL Server, or similar databases.
  • Understanding of AI lifecycle management, evaluation, monitoring, and deployment.
  • Good knowledge of AWS, Azure, or GCP.

What’s on offer

  • Full-time permanent employment.
  • Hybrid work in Hyderabad, Pune, or Bengaluru.
  • The listed compensation is ₹17–32 lakh per annum.
  • The posting lists 200 openings.

Questions about this role

Where are these agentic AI roles located?

The roles are hybrid and based in Hyderabad, Pune, or Bengaluru, India.

How much experience is required?

The posting asks for 3 to 8 years of experience.

What salary range is listed?

The listed range is ₹17–32 lakh per annum.

Which agent frameworks are mentioned?

LangChain, LangGraph, AutoGen, and CrewAI are mentioned.

How many openings are available?

The posting lists 200 openings.

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