Staff Software Engineer, Model Infrastructure
Hybrid (San Francisco)$236k - $340kFull-timePosted 1mo ago
About the role
Lead the design and development of Harvey's Model Infrastructure platform to power AI requests, partnering across AI Research, Product Engineering, Infrastructure, and external model providers to deliver a reliable, scalable, observable, and efficient system.
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.
Qualifications
- 10+ 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.
Skills
Required:Model infrastructure design and developmentUnified Model Controller (UMC) and Model SelectorObservability and telemetryCapacity planning and cost optimizationCross-functional leadership and mentorship
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits (401k match up to 4%)
- Flexible PTO
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Harvey
Professional Class AI
Harvey is a platform built to meet the standards of the world’s leading professional service firms.
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