Gen AI, Agentic AI

4 days ago
Chennai, Tamil Nadu, India Virtusa Full-time
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

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