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HarveyHarveySan Francisco, CA

Software Engineer, AI Platform

Build core AI platform infrastructure at Harvey including model routing, context management, evaluation frameworks, and shared abstractions for agentic AI products. Requires 5+ years backend experience with 1+ year in AI/ML, production multi-model systems, and strong platform-building skills.

185k – 325k/yr
Hybrid5+ YOEML Engineering

About the role

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

  • 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.
  • Strong judgment about abstractions and opinionated about good design but pragmatic about shipping incrementally.
  • Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable.
  • 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.
  • Time at early-stage or hyper-growth startups where the underlying technology changes regularly.

Compensation

$220,000 - $300,000

Skills

Backend Systemsai/ml engineeringmulti-model ai systemsmodel routingcontext managementEvaluation FrameworksSDKsAgentic AIfunction callingDistributed Systems

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