harvey
Software Engineer, AI Platform
At a Glance
- Location
- Canada
- Employment
- FULL_TIME
- Experience
- 5+ years
- Compensation
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- Department
- Harvey
- Posted
- 2026-03-12
Key Requirements
Domain Knowledge
- Engineering
- Finance
- Legal
Requirements
5+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering.
Staff candidates will typically have 8+ years 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.
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.
Opinionated about good design but pragmatic about shipping incrementally.
Compensation & Benefits
$154,000 - $264,000 CAD
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
Responsibilities
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.
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.