Staff AI Platform Engineer — Model Infrastructure

Harvey; San Francisco (CA); On-site; USD 231,000 - 340,000; Full time

Job summary

Harvey is seeking a Staff Software Engineer to lead the Model Infrastructure team. You will design and build the platform powering all AI requests, partnering with AI Research, Product Engineering, Infrastructure, and external providers to deliver a reliable, scalable system.

You'll own high-availability services, traffic routing, and observability, mentoring engineers and driving cross-functional initiatives to advance our frontier AI capabilities.

Qualifications

• 7+ 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.

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

Go

Java

Python

Rust

C++

Distributed systems

Cloud infrastructure

Tools

Kubernetes

Kafka

Spark

Airflow

Job description

Harvey is seeking a Staff Software Engineer to lead the Model Infrastructure team. You will design and build the platform powering all AI requests, partnering with AI Research, Product Engineering, Infrastructure, and external providers to deliver a reliable, scalable system.

You'll own high-availability services, traffic routing, and observability, mentoring engineers and driving cross-functional initiatives to advance our frontier AI capabilities.