5 months ago
Base Salary
$231k - $340k/yr
Responsibilities
- Design and build platform-level abstractions and systems for Harvey’s agentic products.
- Own infrastructure for model integration, routing, and evaluation.
- Build shared evaluation frameworks and tooling for improving AI quality.
- Create SDKs, platform primitives, and developer tooling for product engineering teams.
- Partner with product engineering, product management, and design to launch AI products.
- Evaluate, prototype, and integrate advances in AI and agentic systems.
Requirements
- 8+ years of experience building backend systems, including at least 1+ year focused on AI/ML engineering.
- 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.
- Experience building internal platforms, SDKs, or shared infrastructure adopted by other engineering teams.
- Strong judgment about abstractions and the ability to ship incrementally.
- Excitement about agentic AI and making autonomous systems reliable in high-stakes settings.
- Bonus experience includes evaluation frameworks, agent or function-calling architectures, legal or other high-stakes professional services domains, or early-stage and hyper-growth startups.
Categories
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.