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HarveyHarveyNew York, NY

Software Engineer, AI Platform

Builds AI platform foundation including model routing, agent infrastructure, context management, and evaluation systems for legal AI products. Requires 5+ years backend experience with 1+ year AI/ML, production multi-model systems, and shared platform expertise.

220k – 300k/yr
On-site5+ YOEBackend Engineering

About the role

Representative Projects

  • Context Engineering & Agent Infrastructure: Build platform-level systems for context management, session state, and memory.
  • Model Integration & Routing: Own infrastructure for onboarding foundation models and routing to the right one.
  • Evaluation Infrastructure: Build shared eval tooling and frameworks.
  • Shared Abstractions: Create SDKs, platform primitives, and developer tooling.

What You’ll Do

  • Design and build abstractions and platform-level systems that improve all agentic products.
  • Own infrastructure for model integration, routing, and evaluation.
  • Build evaluation frameworks and tooling for AI quality iteration.
  • Partner with product engineering teams, PMs, and design to launch AI products.
  • Evaluate, prototype, and integrate latest AI and agentic systems advancements.

What You Have

  • 5+ years building backend systems, with 1+ year in AI/ML engineering (Staff: 8+ years, technical leadership).
  • Experience shipping multi-model or multi-provider AI systems in production.
  • Familiarity with context management, session state, or memory in AI/distributed systems.
  • Track record building internal platforms, SDKs, or shared infrastructure adopted by teams.
  • Strong judgment on abstractions; pragmatic about shipping.
  • Excitement for agentic AI infrastructure challenges.
  • Bias toward full ownership in ambiguity.

Bonus: Evaluation frameworks, agent/function-calling, legal domain, early-stage/hyper-growth experience.

Compensation

$220,000 - $300,000

Skills

AI/MLBackend SystemsModel RoutingContext ManagementAgent InfrastructureEvaluation FrameworksSDKsDistributed SystemsFoundation ModelsFunction-Calling
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