5 months ago
Base Salary
$231k - $340k/yr
Responsibilities
- Partner with customers and product managers to understand legal workflows, design practical evaluations, and ship effective agents.
- Optimize agent performance 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.
- Track developments in agentic systems and apply relevant learnings to product development.
Requirements
- 8+ years of post-BS/MS software engineering experience.
- Proficiency in Python and experience with LLM APIs and agent frameworks.
- Experience shipping user-facing backend or full-stack products.
- Passion for building effective domain-specific agents.
- Ability to use practical evaluations to drive quality and task completion.
- Comfort developing proofs of concept, making decisions quickly, and shipping early versions.
- Adaptability with code and frameworks and willingness to drive adoption of emerging 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.