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

Robust 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.

📌 Senior Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad