GEN AI Agentic AI

Virtusa; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Virtusa Bengaluru is seeking a GenAI & Agentic AI Developer to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, and AI Agent frameworks. You will create AI-powered chatbots, copilots, and knowledge assistants within Agile teams to deliver value across business units.

The role requires hands-on experience with OpenAI, Claude, or similar models, strong Python skills, and experience with vector stores, CI/CD, and containerized deployments in production.

Qualifications

• Bachelor's or Master's in Computer Science, AI, 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 concepts

LLMs

Multi-Agent architectures

Python programming

AI governance

HITL workflows

Education

Bachelor's/Master's in CS or AI

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

REST APIs

FastAPI

Flask

Pinecone

Weaviate

Job description

Job Requirements

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

• CI/CD implementation using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline.

Docker and containerized deployments

• 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

5-7Years