Engineering Manager - Agentic AI

Responsibilities:

• Build and lead a high-performing engineering team developing production Agentic AI systems.
• Own both delivery and technical outcomes: quality, reliability, latency, and cost.
• Partner closely with product, AI/data science, and healthcare domain experts to turn complex workflows into reliable products.
• Drive architecture and design reviews across agents, backend services, tools, and integrations.
• Establish evaluation as a core engineering discipline using golden datasets, measurable metrics, regression testing, and release gates.
• Challenge technical decisions around prompts, models, tool design, orchestration, guardrails, and agent architecture.
• Ensure production AI systems have strong observability, failure handling, and incident-management practices.
• Hire exceptional engineers and create clear standards for engineering excellence.
• Coach and mentor engineers while maintaining a high bar for ownership and execution.
• Own production failures with the team and ensure learnings translate into better architecture, tooling, and processes.

Requirements:

• 9+ years of engineering experience, including 2+ years directly managing engineers.
• Strong backend engineering foundation with experience owning production services before moving into management.
• Experience leading a team that has shipped LLM agents to real users in production for 1+ year.
• Strong system design and architecture fundamentals.
• Hands-on understanding of agent evaluation, including golden datasets, metrics, and release gates.
• Ability to challenge technical decisions around model choice, agent architecture, reliability, and cost.
• Experience hiring, mentoring, and developing strong engineers.