Job Description: Gen AI

Experience: 2 to 11 Years
Location: All Locations
Skills: Gen AI, Agent Frameworks, Agentic AI, RAG, MCP

Required Skills:
Robust experience in Generative AI (Gen AI) solutions and applications.
Hands-on experience with Agentic AI and AI Agent development.
Expertise in Agent Frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
Experience in designing and implementing RAG (Retrieval-Augmented Generation) architectures.
Valuable understanding of MCP (Model Context Protocol) and AI tool integrations.
Proficiency in Python programming.
Experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
Knowledge of vector databases like Pinecone, Chroma, FAISS, Weaviate, or Milvus.
Familiarity with prompt engineering, model evaluation, and optimization techniques.
Understanding of cloud platforms such as Azure, AWS, or GCP.

Roles & Responsibilities:
Design, develop, and deploy Gen AI and Agentic AI solutions.




Build and manage AI agents using contemporary agent frameworks.
Implement RAG pipelines for enterprise knowledge retrieval and question-answering systems.
Integrate LLMs, tools, APIs, and enterprise applications using MCP and related protocols.
Optimize prompts, workflows, and agent performance for scalability and reliability.
Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
Monitor, evaluate, and improve AI model performance and user experience.

Preferred Skills:
Experience with AI orchestration frameworks and multi-agent systems.
Knowledge of MLOps, CI/CD pipelines, and AI deployment practices.
Exposure to fine-tuning, embeddings, and vector search technologies.
Understanding of responsible AI, governance, and security best practices.

Notice Period: Immediate to 30 Days Preferred.

📌 Gen Ai Hyderabad
🏢 Infosys
📍 Hyderabad