3 months ago
Base Salary
$231k - $340k/yr
Responsibilities
- Design and build platform-level abstractions and systems supporting Harvey’s agentic products.
- Own infrastructure for model integration, routing, and evaluation to select and deploy appropriate foundation models.
- Build shared evaluation frameworks and tooling for measuring and improving AI quality.
- Create SDKs, platform primitives, and developer tooling for product engineering teams.
- Evaluate, prototype, and integrate emerging AI and agentic-system capabilities.
- Partner with product engineering teams, product managers, and designers to launch AI products.
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 and full ownership in ambiguous environments.
- 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.
- Bonus experience includes evaluation frameworks, agent or function-calling architectures, 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.