Gen Ai, LLM Engineer

Infosys; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infosys is seeking a Generative AI Engineer with 2–5 years of experience to design, develop, and deploy AI-powered applications using Large Language Models. The role focuses on hands-on Generative AI, Prompt Engineering, RAG, and LangChain to build intelligent chatbots and enterprise GenAI solutions.

You will collaborate with cross-functional teams to deliver scalable AI applications, integrating LLMs with enterprise systems and APIs, and working with tools like FAISS, Pinecone, and ChromaDB.

Qualifications

• 2-5 years of experience in Generative AI and LLMs.
• Hands-on experience with LangChain and RAG.
• Experience deploying AI-powered applications.
• Collaboration with cross-functional teams.

Responsibilities

• Design, develop, and deploy Generative AI solutions using LLMs.
• Build AI-powered chatbots, virtual assistants, and RAG-based applications.
• Develop and optimize prompts, workflows, and AI pipelines.
• Integrate LLMs with enterprise applications and APIs.
• Collaborate with business and engineering teams to deliver AI solutions.

Skills

Python

SQL

Generative AI

LLMs

Prompt Engineering

Education

MCA

MSc

MTech

BTech

Tools

LangChain

LlamaIndex

OpenAI/Azure OpenAI

Gemini

Claude

FAISS

Pinecone

ChromaDB

REST APIs

Docker

Git

AWS

Azure

GCP

Job description

Job Summary

We are looking for a Generative AI Engineer with 2-5 years of experience to design, develop, and deploy AI-powered applications using Large Language Models (LLMs). The ideal candidate should have hands-on experience in Generative AI, Prompt Engineering, RAG (Retrieval-Augmented Generation), LangChain, and OpenAI/Azure OpenAI technologies. The role involves building intelligent chatbots, AI assistants, and enterprise GenAI solutions while collaborating with cross-functional teams to deliver scalable and innovative AI applications.

Responsibilities

• Design, develop, and deploy Generative AI solutions using LLMs.
• Build AI-powered chatbots, virtual assistants, and RAG-based applications.
• Develop and optimize prompts, workflows, and AI pipelines.
• Integrate LLMs with enterprise applications and APIs.
• Collaborate with business and engineering teams to deliver AI solutions.

Technical Requirements

• Python, SQL
• Generative AI, LLMs
• LangChain, LlamaIndex
• RAG (Retrieval Augmented Generation)
• Prompt Engineering
• OpenAI, Azure OpenAI, Gemini, Claude
• Vector Databases (FAISS, Pinecone, ChromaDB)
• REST APIs
• Docker, Git
• AWS/Azure/GCP

Educational Requirements

• MCA
• MSc
• MTech
• BTech

Preferred Skills

• Technology->AI-Data science->AI-Data science
• Technology->AI-Generative AI->Generative AI for Data Analytics

Service Line

Data Analytics Unit