Agentic AI Engineer

Infosys; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Infosys is seeking a skilled Python developer with strong AI/ML experience to design, build, and test agentic AI systems. You will work on multi-agent orchestration, tool integration, and safety-centered development in Bengaluru, contributing to cutting-edge business applications.

Responsibilities include implementing agentic architectures, integrating REST APIs and external tools, and collaborating with cross-functional teams to deliver robust, well-documented Python workflows.

Qualifications

• Solid Python programming experience with AI/ML frameworks.

Responsibilities

• Assist in designing and implementing agentic architectures.

Skills

Python

AI/ML frameworks

PyTorch

TensorFlow

Scikit-learn

LLMs

Prompt engineering

LangChain

LangGraph

AutoGen

CrewAI

REST API

Knowledge bases

Responsible AI

Testing

Memory module

Planning module

Tools

Docker

AWS

Azure

GCP

Pinecone

Weaviate

Chroma

Job description

Requirements

• Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn).
• Foundational understanding of LLMs and prompt engineering techniques.
• Exposure to at least one agentic framework: LangChain, LangGraph, AutoGen, or CrewAI.
• Basic knowledge of REST API integration and tool augmentation for agents.
• Familiarity with responsible AI principles and safety considerations in LLM systems.
• Assist in designing and implementing agentic architectures using LLMs and reasoning engines.
• Contribute to the development of multi-agent systems for task orchestration.
• Integrate external tools, REST APIs, and knowledge bases to augment agent capabilities.
• Write clean, well-documented Python code for agent logic and workflow components.
• Support testing, evaluation, and debugging of agent pipelines.
• Research agentic frameworks and prototype capabilities such as memory and planning modules.
• Collaborate with cross-functional teams to embed agentic AI into business applications.

Preferred Qualifications

• Exposure to RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with vector databases (Pinecone, Weaviate, Chroma).
• Basic knowledge of Docker and cloud environments (AWS, Azure, or GCP).