7 months ago
Base Salary
$185k - $325k/yr
Responsibilities
- Design and build abstractions and platform-level systems for Harvey’s agentic products.
- Own infrastructure for model integration, routing, and evaluation.
- Build shared evaluation frameworks and tooling for measuring and improving AI quality.
- Develop context-management, session-state, memory, SDK, platform-primitive, and developer-tooling systems.
- Partner with product engineering teams, product managers, and designers to launch AI products.
- Evaluate, prototype, and integrate advancements in AI and agentic systems.
Requirements
- At least 5 years of experience building backend systems, including at least 1 year focused on AI/ML engineering.
- 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.
- Track record of building internal platforms, SDKs, or shared infrastructure adopted by other engineering teams.
- Strong judgment about abstractions, with a pragmatic approach to incremental delivery and ownership.
- Bonus qualifications include evaluation-framework experience, agent or function-calling architectures, legal or other high-stakes professional-services experience, and experience at early-stage or 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.