Full Stack AI Engineer Manager

About the role

Lead the technical delivery of agentic AI programmes while remaining hands-on as an engineer. Work directly with clients to understand requirements, translate them into agentic application designs, and guide a team of engineers to deliver production-grade systems. Architect and build agentic AI solutions end-to-end, including agents, orchestration, tool layers, knowledge pipelines, and full stack applications. Design and implement evaluation and AgentOps pipelines, and ensure trust, safety, and governance components are in place. Manage and develop a team of Consultants and Analysts, and contribute to internal practice development.

Requirements

• 3+ years building LLM-based applications in production
• 2+ years designing and delivering agentic AI systems
• Hands-on experience with at least one agent orchestration framework (LangGraph, AutoGen, CrewAI, AWS Strands, or equivalent) in production
• Demonstrated experience across the Agent Development Lifecycle
• Proven track record deploying software systems in production with measurable results
• Experience with knowledge layer engineering: RAG pipelines, MCP-connected sources, Text-to-SQL, Elasticsearch, and knowledge graph design