Are you an Engineering Manager with a strong AI engineering background looking to lead the development of cutting-edge agentic AI systems...
Join a rapidly growing, Series B Applied AI startup that has raised over $90M in funding, backed by some of the leading venture capital firms in the technology industry.
The company is transforming the construction and infrastructure industry through AI-powered automation, building intelligent agentic systems capable of handling complex, real-world workflows. It's a unique opportunity to combine hands-on technical leadership with people management, owning the engineering roadmap and shaping the future of production AI systems.
What you will be doing:
- Lead and grow a high-performing engineering team building production-grade AI and agentic systems.
- Own the technical architecture behind AI agents, including orchestration, model serving, latency, cost optimisation, and failure handling.
- Design and scale multi-agent evaluation infrastructure, including LLM-as-judge pipelines, golden datasets, and human annotation tooling.
- Drive the development of internal tooling to test, evaluate, and improve agent performance.
- Establish engineering best practices around reliability, observability, scalability, and production performance.
- Work closely with Product and Engineering leadership to define technical direction and deliver the AI roadmap.
- Remain hands-on with architecture, system design, code reviews, and complex technical decisions.
- Recruit, mentor, and develop engineers, building a high-performing AI engineering function.
Requirements:
- 5+ years of professional Software/AI engineering experience.
- At least 1 year of engineering leadership or management experience.
- Direct experience building and shipping production AI or agentic systems.
- Hands-on experience with AI infrastructure, agent orchestration, and LLM-powered applications.
- Experience building evaluation frameworks, including golden datasets, LLM-as-judge, human annotation, or online monitoring.
- Strong system design and software architecture fundamentals.
- Comfortable making technical decisions around model behaviour, AI infrastructure, and production trade-offs.
- Ability to lead through ambiguity and translate complex problems into clear engineering roadmaps.
- Strong communication skills and experience working cross-functionally with Product teams.
It’s a Bonus If You Have:
- Experience building multi-agent systems and complex agentic workflows.
- Experience with workflow-heavy enterprise SaaS or infrastructure products.
- Exposure to regulated industries such as construction, logistics, or government.
- Experience scaling AI engineering teams within a high-growth startup.
The Benefits:
- Equity: Meaningful equity package.
- Hybrid Working: New York City.
- Healthcare: 100% company-paid medical, dental, and vision coverage.
- 401(k): Company retirement savings plan.
- Unlimited PTO: Plus paid family leave.
- Additional Benefits: Home office and equipment stipend, daily office lunch and dinner, and commuter benefits.
- Technical Ownership: Opportunity to shape the architecture and direction of an advanced agentic AI platform.
- Career Growth: Build and lead an engineering team at a rapidly scaling AI business.