Staff Software Engineer, AI Platform

Reposted 2 Days Ago
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San Francisco, CA, USA
Hybrid
231K-340K Annually
Senior level
Artificial Intelligence • Legal Tech • Professional Services • Software
The Role
The Staff Software Engineer will design and build AI platform systems, focusing on context management and model integration, driving infrastructure quality for legal applications.
Summary Generated by Built In
Why Harvey

At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

At Harvey, the future of professional services is being written today — and we’re just getting started.

Role Overview

Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.

The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.

Representative Projects
  • Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.

  • Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.

  • Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.

  • Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.

What You’ll Do
  • Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.

  • Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.

  • Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.

  • Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.

  • Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.

What You Have
  • 8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.

  • 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. You’ve thought about what the model sees and why it matters.

  • A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.

  • Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.

  • Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.

  • A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.

  • Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.

Compensation Range

$231,000 - $340,000

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

#LI-AK1

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

Skills Required

  • 5+ years of experience building backend systems
  • 1+ year focused on AI/ML engineering
  • Experience building multi-model AI systems in production
  • Familiarity with context management or session state systems in AI
  • A track record of building internal platforms or shared infrastructure
  • Strong judgment about abstractions and good design
  • Excitement about agentic AI and making autonomous systems reliable
  • Bonus: experience building evaluation frameworks

Harvey Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvey and has not been reviewed or approved by Harvey.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental health support, and fertility benefits. This breadth indicates robust health protections within the total rewards package.
  • Parental & Family Support Paid parental leave is prominently offered with eligibility starting on day one. Family-building support complements leave policies to support different life stages.
  • Equity Value & Accessibility Equity is routinely positioned alongside competitive cash, with communications emphasizing pre-IPO upside. This signals meaningful access to ownership as part of compensation.

Harvey Insights

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The Company
HQ: San Francisco, California
373 Employees
Year Founded: 2022

What We Do

Harvey is a generative AI company backed by Sequoia and OpenAI's startup fund building the future of professional services.

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