Lead the development of agentic systems, design and develop Multi-Agent Ecosystems, and define 'Agentic Thinking' for a team of AI engineers. Essential skills include experience in AI/ML, Generative AI, and agentic workflows, as well as expertise in LangGraph, CrewAI, AutoGen, and RAG.
Requirements
- 13+ Years of Experience in software engineering
- 4-5 years focused on AI/ML
- 1-2 years specifically in Generative AI/Agentic workflows
- Hands-on expertise with LangGraph, CrewAI, AutoGen, or LlamaIndex
- Deep understanding of RAG (Retrieval-Augmented Generation), context engineering, and long-term memory design
- Strong command of Python, vector databases (Pinecone, Weaviate, etc.), and cloud AI platforms (Azure AI Foundry)
- Experience with evaluation frameworks like LangSmith or Arize Phoenix
- Background in leading AI pods or CoEs for internal tools
- Ability to articulate technical solutions to stakeholders and drive innovation in agentic systems
- Exceptional communication and interpersonal skills