Gen AI, Agentic AI

Virtusa; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Virtusa in Chennai, India, seeks a GenAI & Agentic AI Developer to design, develop, and deploy enterprise-grade AI solutions leveraging LLMs, RAG, AI Agents, and related frameworks. You will build AI-powered applications such as chatbots, virtual assistants, knowledge copilots, and workflow automation within Agile teams.

Applicants should have strong Python skills, experience with REST APIs, and familiarity with MLOps, model fine-tuning, and governance workflows to deliver scalable AI platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5–8 years of software engineering experience.
• Minimum 2+ years of hands‑on experience in Generative AI solution development.
• Experience with Agent Evaluation Frameworks.
• Knowledge of Model Fine‑Tuning and PEFT.
• Experience with Knowledge Graphs and Graph RAG.
• Exposure to MLOps, LLMOps, and AI Governance platforms.

Responsibilities

• Design and develop Generative AI and Agentic AI solutions for enterprise use cases.
• Build AI-powered applications such as chatbots, virtual assistants, knowledge assistants, copilots, and workflow automation platforms.
• Work within Agile/Scrum teams and contribute to sprint planning, estimations, and delivery activities.

Skills

Generative AI

Agentic AI

LLMs

RAG

Python

Agile/Scrum

MLOps

Governance workflows

Education

Bachelor's or Master's in Computer Science/AI/Data Science

Tools

REST API

FastAPI/Flask

Databases & Vector Stores

GitHub Actions/Jenkins

Job description

Job Requirements

Job Summary

We are seeking a highly skilled GenAI & Agentic AI Developer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Agentic AI frameworks.

Key Responsibilities

• Design and develop Generative AI and Agentic AI solutions for enterprise use cases.
• Build AI-powered applications such as chatbots, virtual assistants, knowledge assistants, copilots, and workflow automation platforms.
• Work within Agile/Scrum teams and contribute to sprint planning, estimations, and delivery activities.

Generative AI & LLMs

• Strong understanding of Generative AI concepts and architectures.
• Hands-on experience with Large Language Models (LLMs).
• Experience working with OpenAI, Claude, Gemini, Llama, Mistral, or equivalent models.
• Experience with Multi-Agent Architectures.
• Knowledge of Human-in-the-Loop (HITL) workflows and agent governance.

RAG & Knowledge Systems

• Design and implementation of RAG solutions.
• Document ingestion, chunking, embedding, indexing, and retrieval strategies.

AI Frameworks, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen

• MCP (Model Context Protocol),AI Agent Orchestration Frameworks,Programming & APIs,Strong proficiency in Python.
• REST API development and integration.,FastAPI or Flask.,JSON, API Gateway, Authentication, and Security best practices.
• Databases & Vector Stores SQL (PostgreSQL, MySQL, SQL Server, etc.),Vector Databases:,Pinecone,Weaviate,ChromaDB,FAISS,OpenSearch Vector Engine
• CI/CD implementation using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Docker and containerized deployments.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5–8 years of software engineering experience.
• Minimum 2+ years of hands‑on experience in Generative AI solution development.
• Experience with Agent Evaluation Frameworks.
• Knowledge of Model Fine‑Tuning and Parameter‑Efficient Fine‑Tuning (PEFT).
• Experience with Knowledge Graphs and Graph RAG.
• Experience in Healthcare, Pharma, Life Sciences, Financial Services, or Enterprise Digital Transformation programs.
• Exposure to MLOps, LLMOps, and AI Governance platforms.

Work Experience

2-5Years