Senior AI/Generative AI Technologist

Infosys; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Infosys seeks a Senior Technologist for AI/GenAI to design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks. You will build AI applications with LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns, and implement RAG pipelines for enterprise knowledge retrieval.

The role covers end-to-end AI design from data ingestion to evaluation, leveraging CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, Langfuse, and prompt engineering

Qualifications

• Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
• Work with LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
• Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.

Responsibilities

• Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
• Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.
• Design end-to-end AI solutions covering: Data ingestion, Data processing, Retrieval, Generation, Evaluation
• Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
• Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.
• Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.
• Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
• Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.
• Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
• Containerize AI applications using Docker and work with basic Kubernetes concepts.
• Apply model engineering best practices for scalable, reliable, and production-ready AI systems.

Skills

GenAI design

LLM usage

Prompt engineering

RAG pipelines

Cloud deployment

Docker

Kubernetes basics

Tools

Python

Docker

Kubernetes

LangChain

LangGraph

LlamaIndex

AutoGen

Langfuse

Azure

AWS

GCP

Job description

Senior Technologist - AI/GenAI-Q3 FY 26

• Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.


• Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.


• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.


• Design end-to-end AI solutions covering: Data ingestion, Data processing, Retrieval, Generation, Evaluation


• Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.


• Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.


• Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.


• Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.


• Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.


• Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.


• Containerize AI applications using Docker and work with basic Kubernetes concepts.


• Apply model engineering best practices for scalable, reliable, and production-ready AI systems.