About this role
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
WHAT YOU'LL BUILD
- Model Reliability & Operations - Model health monitoring - Automated failover and recovery - Capacity provisioning - Operational tooling and incident automation
- Unified Model Controller (UMC) - Policy-based model routing - Intelligent Model Selector - Model health monitoring - Traffic management - Reliability and latency optimization
- Provider Platform - Multi-provider architecture - API and SDK integrations - OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers - Rapid adoption of new frontier models
- Observability & Cost Platform - Token usage analytics - Cost attribution - Latency and reliability dashboards - Capacity forecasting - Utilization optimization
- AI Platform Foundation - Infrastructure supporting model evaluation - Model deployment and operations - Future model training platform - Agent infrastructure and CcaaS
WHAT YOU'LL DO
- Lead the design and implementation of Harvey's Model Infrastructure platform.
- Build systems to ensure high availability, low latency, and operational excellence for AI inference.
- Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently rou