Staff Software Engineer, Model Infra - AI Platform

Neura Market; San Francisco (CA); On-site; USD 236,000 - 290,000; Full time

Job summary

Harvey is hiring a Staff Software Engineer to lead the Model Infrastructure team in San Francisco. You will architect and build scalable systems powering AI requests, collaborating with AI Research, Product Engineering, and external providers to ensure reliability and efficiency.

You will drive the Unified Model Controller, model provisioning, and traffic routing across providers, with a focus on observability and cost efficiency. Join a fast-moving team building foundational AI platforms.

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.
• 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 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 to rapidly adopt 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

Go

Java

Python

Rust

C++

Observability

Tools

Kubernetes

Cloud infrastructure

OpenAI APIs

Job description

Harvey is hiring a Staff Software Engineer to lead the Model Infrastructure team in San Francisco. You will architect and build scalable systems powering AI requests, collaborating with AI Research, Product Engineering, and external providers to ensure reliability and efficiency.

You will drive the Unified Model Controller, model provisioning, and traffic routing across providers, with a focus on observability and cost efficiency. Join a fast-moving team building foundational AI platforms.