Senior Model Infrastructure Engineer for AI Platform

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

Job summary

Harvey in San Francisco is seeking a Staff Software Engineer to lead the design and development of the Model Infrastructure platform powering all AI requests. You’ll partner with AI Research, Product Engineering, Infrastructure, and external model providers to create a reliable, scalable system that’s observable and cost-conscious.

You will own the Unified Model Controller and traffic routing, enable provisioning across multiple providers, and improve observability with dashboards and telemetry.

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

Go

Java

Python

Rust

C++

Distributed systems

Cloud infrastructure

Observability

Leadership

Tools

Kubernetes

Kafka

Spark

Flink

Airflow

Iceberg

Job description

Harvey in San Francisco is seeking a Staff Software Engineer to lead the design and development of the Model Infrastructure platform powering all AI requests. You’ll partner with AI Research, Product Engineering, Infrastructure, and external model providers to create a reliable, scalable system that’s observable and cost-conscious.

You will own the Unified Model Controller and traffic routing, enable provisioning across multiple providers, and improve observability with dashboards and telemetry.