Why This Job is Featured on The SaaS Jobs
Harvey sits in a growing segment of SaaS where the product is an enterprise platform powered by agentic AI, and the differentiator is reliability at scale. A Staff Software Engineer on the AI Platform team is positioned at the shared foundation layer, where model routing, context management, and evaluation infrastructure shape what every downstream product team can ship. That makes the role relevant to a broader shift in SaaS toward platformized AI capabilities rather than one-off feature integrations.
From a SaaS career perspective, this work builds durable platform engineering instincts that translate across modern product-led and enterprise SaaS environments. Designing internal SDKs, abstractions, and developer tooling mirrors how successful SaaS companies reduce coordination costs and accelerate delivery across multiple teams. Experience with multi-model production systems and systematic evaluation also maps to an emerging core competency as more SaaS products depend on external model providers and quality constraints.
This role fits engineers who prefer owning foundational systems and making tradeoffs that balance correctness, usability, and iteration. It suits someone comfortable operating with incomplete roadmaps, partnering across product engineering, and setting technical standards that others adopt. It is particularly aligned for professionals who want their impact measured by leverage across the organization, not just a single surface-area feature.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Why Harvey
At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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 1000+ 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.
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].
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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 accommodations@harvey.ai
