Senior Staff AI Platform Engineer

Harvey, Inc.

San Francisco, Northern (CA, KY)

Hybrid

USD 231,000 - 340,000

Full time

15 hours ago

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Job summary

Harvey is hiring a Staff/Senior Staff Software Engineer for Product Engineering. You will own cross-team projects spanning product lines, collaborating with AI, Legal, and GTM teams to build secure systems that deliver value to customers.

Candidates should have deep full-stack or AI experience and a track record of shipping intuitive SaaS products. You will work on surfaces across web, desktop, mobile, and embedded experiences, and contribute to agentic capabilities and tool-calling workflows.

Qualifications

10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above.
Depth in full stack, backend, or agents/AI — and enough range to be useful outside it.
Experience building scalable, extensible systems that support multiple product lines.
Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail.
Experience with React, TypeScript, CSS (TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs.
You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short.
A history of influencing and aligning engineers and leaders well outside your direct scope.
Strong programming skills and general Computer Science knowledge.
Grit — experience working at early-stage startups is a plus.

Responsibilities

Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API.
Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters.
Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down.
Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality.
Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters.
Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.
Mentor senior and staff engineers, and raise the bar for how the whole org builds.