Staff Software Engineer, AI Platform

HarveySan Francisco, CA

About The Position

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.

Requirements

  • 5+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams.
  • Experience building and shipping multi-model or multi-provider AI systems in production.
  • Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.
  • A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.
  • Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.
  • Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.
  • A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.

Nice To Haves

  • Experience building evaluation frameworks
  • Working with agent/function-calling architectures
  • Familiarity with legal or other high-stakes professional services domains
  • Time at early-stage or hyper-growth startups where the underlying technology changes regularly.

Responsibilities

  • Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.
  • Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.
  • Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.
  • Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.
  • Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.

Benefits

  • Strong product-market fit
  • World-class investor support
  • Opportunity for growth — personal, professional, and financial — is unmatched.
  • Equal opportunity employer
  • Commitment to providing reasonable accommodations to applicants with disabilities
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