6 months ago
Base Salary
$193k - $290k/yr
Responsibilities
- Partner with customers and product managers to understand legal workflows, define practical evaluations, and ship effective agents.
- Optimize agents through prompt engineering, model selection, tool design, skill writing, context-window management, and evaluation-harness development.
- Design and implement low-latency agent execution infrastructure, including caching strategies, parallel tool calls, and subagent patterns.
- Improve observability and instrumentation to profile agent behavior, identify bottlenecks, and guide optimization decisions.
- Stay current on agentic-systems developments and apply relevant learnings to products.
Requirements
- 5-8 years of post-BS/MS software engineering experience.
- Proficiency in Python and experience with LLM APIs and agent frameworks.
- Experience shipping user-facing products on the backend or full-stack.
- Passion for building effective domain-specific agents and comfort using evaluations to drive quality.
- Ability to develop proofs of concept, make decisions quickly, ship early versions, and adopt evolving engineering best practices.
Tech Stack
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.