Staff Software Engineer, Agents

🕒 May 2

🏢🏡 San Francisco – Hybrid

💵 $231k - $340k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Harvey

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚖️ Legal

🏢 Enterprise

💰 $80.6G Series B on 2023-12

Artificial Intelligence • Legal • Enterprise

Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.

📋 Description

• Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. • Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. • Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. • Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. • Stay current on new developments in agentic systems and bring those learnings back to the products we build.

🎯 Requirements

• 8+ years (post-BS/MS) of software engineering experience • Proficiency in Python and experience working with LLM APIs and agent frameworks • Experience with shipping user-facing products, either on the backend or full-stack

🏖️ Benefits

• Comprehensive health, dental and vision coverage • Retirement benefits (401k match up to 4%) • Flexible PTO