Job Description:

- We are seeking a highly experienced Senior Generative AI Engineer with expertise in Agentic AI AI Agent Frameworks RAG MCP and enterprise scale LLM solutions
- The candidate will lead the design development and deployment of advanced AI systems multi agent architectures and intelligent automation solutions leveraging modern GenAI technologies

Key Responsibilities:

- 9 11 years of software engineering experience
- Strong hands on expertise in Generative AI and LLM based applications
- Experience designing and implementing Agentic AI solutions
- Hands on experience with Agent Frameworks such as
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- LangChain Agents
- Robust expertise in RAG Retrieval Augmented Generation
- Experience implementing MCP Model Context Protocol
- Strong Python programming skills
- Experience with OpenAI Azure OpenAI Claude Gemini Llama or similar LLMs
- Expertise in Vector Databases Pinecone ChromaDB Weaviate FAISS Azure AI Search
- API and Microservices development experience
- Roles Responsibilities
- Architect and build enterprise grade Agentic AI platforms and solutions
- Design multi agent orchestration workflows for business use cases




- Develop and optimize advanced RAG pipelines using enterprise knowledge repositories
- Implement MCP based integrations between AI agents tools and enterprise systems
- Lead LLM solution design deployment scalability and performance optimization
- Build reusable AI accelerators frameworks and components
- Guide development teams on GenAI best practices and AI architecture patterns
- Collaborate with business stakeholders to define AI roadmaps and use cases
- Ensure Responsible AI security governance and compliance standards are followed
- Mentor junior engineers and conduct technical reviews

Technical Requirements:

- Gen AI Agent Frameworks Agentic AI RAG MCP

Additional Responsibilities:

- Preferred Skills
- Azure OpenAI
- AWS Bedrock
- Databricks Mosaic AI
- GraphRAG
- Knowledge Graphs
- LLMOps MLOps
- Docker Kubernetes
- MLflow LangSmith PromptFlow
- CI CD and Cloud Platforms Azure AWS GCP

Preferred Skills:

Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->AI-Agentic AI->AgentOps

📌 Gen AI Consultant (Bengaluru)
🏢 Infosys
📍 Bengaluru