Engineering Manager, AI Platform

Job summary

Responsibilities

Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure…

• Lead and grow a team of engineers building the core AI platform that powers Harvey’s products
• Define the roadmap for shared AI infrastructure, including model gateways and routing, agent orchestration, tool calling, prompt and context management, and long-running job…
• Partner with Product, Research, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives
• Build and scale evaluation, testing, and monitoring systems so teams can measure quality, catch regressions, and ship AI features with confidence
• Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with model providers on capacity, rate limits, and new capabilities

What they're looking for

• 2+ years of experience in a software engineering management role leading platform, infrastructure, or full stack product engineering teams, preferably in high-growth environments
• 5+ years of experience as a backend, infrastructure, or full stack engineer
• A track record of leading high-performing, engaged engineering teams
• Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines)
• Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them

Tech stack

• Python
• Go