2 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 is domain-specific AI for legal and professional services. Adopted by Fortune 500 companies like AT&T, Verizon, Cox, Koch, KKR, Bridgewater, more than 100,000 lawyers across 2,400+ customers in 70 countries and over 75% of AmLaw 100 law firms rely on Harvey to advance legal expertise faster across contract analysis, due diligence, compliance, and litigation. Backed by Sequoia Capital, OpenAI, GV, Kleiner Perkins, Coatue and EQT, Harvey is the trusted partner in modernizing the legal industry.