3 months ago
Base Salary
$193k - $290k/yr
Responsibilities
- Design and build abstractions and platform-level systems for Harvey’s agentic products.
- Build infrastructure for model integration, routing, and evaluation.
- Develop evaluation frameworks and tooling for measuring and improving AI quality.
- Build 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 five years of experience building backend systems, including at least one 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.
- Experience building internal platforms, SDKs, or shared infrastructure adopted by other engineering teams.
- Strong judgment about abstractions, with a pragmatic approach to incremental delivery.
- Ownership, autonomy, and comfort navigating ambiguity.
- 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.
- Staff candidates typically have eight or more years of experience and a record of technical leadership across teams.
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.