Engineering Manager
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-26
Listing for:
Berkley Hunt
Full Time
position Listed on 2026-07-26
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Berkley Hunt is partnering with a fast-growing AI-native Insur Tech company that's redefining how insurance operations are automated through intelligent agents.
They're looking for a Head of AI Engineering to lead and scale their AI organization, owning both the technical vision and execution of production-grade AI systems. You'll remain deeply hands-on while building and growing a world-class engineering team focused on LLMs, agentic workflows, and AI infrastructure. This is an opportunity to shape the future of AI in a high-growth startup where AI sits at the core of the product.
What You'll Do
- Own and scale the AI Engineering organization, growing the team into three core functions:
- AI Infrastructure (routing, reliability, and platform)
- Agent Intelligence (evaluations, shared tooling, multimodal pipelines)
- Agentic Products (customer-facing AI assistants and long-running workflows)
- Define the technical strategy for building reliable, production-ready AI agents operating on real customer workflows
- Lead the architecture and development of scalable AI systems powered by modern LLMs and agentic frameworks
- Recruit, mentor, and develop a high-performing team of AI engineers as the organization grows
- Stay deeply hands-on with coding, architecture, and technical decision-making while setting a high engineering bar
- Evaluate emerging AI technologies and frameworks, bringing the best ideas into production
- Build highly reliable, observable, and scalable AI systems that can support mission-critical workloads
What We're Looking For
- Proven experience leading AI/ML engineering teams building production LLM and agent-based systems
- Deep hands-on expertise with agentic architectures, including tool use, planning, multi-agent orchestration, evaluations, and reliability
- Strong software engineering background with the ability to remain highly technical
- Demonstrated success recruiting, mentoring, and scaling engineering teams
- Experience designing and operating production AI infrastructure at scale
- Excellent communication skills and the ability to influence technical direction across the company
- Experience working in B2B SaaS or early-stage, high-growth startups is a plus
- A strong sense of ownership, urgency, grit, and execution
- Meaningful equity package
- Opportunity to build and lead a world-class AI organization from the ground up
- Work alongside a highly technical team building AI products at the forefront of the industry
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