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Tech Stack
Tools & technologiesDistributed Systems
About the role
Key responsibilities & impact- Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products
- Own infrastructure for model integration, routing, and evaluation
- Build evaluation frameworks and tooling for AI quality iteration
- Partner closely with product engineering teams, PMs, and design
- Evaluate, prototype, and integrate advancements in AI and agentic systems
Requirements
What you’ll need- 8+ years of experience building backend systems
- At least 1+ year focused on AI/ML engineering
- 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
- Strong judgment about abstractions
- Excitement about agentic AI
- A bias toward full ownership
- 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.
Benefits
Comp & perks- Comprehensive health, dental and vision coverage
- Retirement benefits (401k match up to 4%)
- Flexible PTO
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
backend systemsAI engineeringML engineeringmulti-model AI systemsmulti-provider AI systemsevaluation frameworksSDKsabstractionscontext managementsession state
Soft Skills
strong judgmentownershipexcitement about AI