Staff AI Model Infrastructure Engineer

Harvey; San Francisco (CA); On-site; USD 193,000 - 290,000; Full time

Job summary

Harvey is hiring a Staff Software Engineer for the Model Infrastructure team in San Francisco to lead the design and development of systems powering AI requests. You will collaborate with AI Research, Product Engineering, and external providers to create a reliable, scalable and observable platform.

You will build and enhance the Unified Model Controller and traffic routing, implement provisioning, capacity management, and cross-provider integration for rapid frontier model adoption.

Qualifications

• 4+ years of software engineering experience building large-scale distributed systems.
• Experience designing and operating highly available production services.
• Strong programming skills in Go, Java, Python, Rust, or C++.
• Deep understanding of distributed systems, cloud infrastructure, networking, and observability.
• Experience leading technical projects across multiple engineering teams.
• Ability to balance long‑term architecture with pragmatic execution.
• Strong communication and collaboration skills.
• Passion for building foundational platforms that enable other engineering teams.

Responsibilities

• 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 route traffic based on reliability, latency, quality, compliance, and cost.
• Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
• Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.
• Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
• Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.
• Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
• Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.
• Lead cross-functional technical initiatives and mentor engineers across the organization.

Skills

Distributed systems design

Production services operation

Go, Java, Python, Rust, or C++

Cloud infrastructure

Observability

Technical project leadership

Communication skills

Foundational platform building

Job description

Harvey is hiring a Staff Software Engineer for the Model Infrastructure team in San Francisco to lead the design and development of systems powering AI requests. You will collaborate with AI Research, Product Engineering, and external providers to create a reliable, scalable and observable platform.

You will build and enhance the Unified Model Controller and traffic routing, implement provisioning, capacity management, and cross-provider integration for rapid frontier model adoption.