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Engineering Manager, Model Infrastructure
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Harvey·San Francisco·22 июля

Engineering Manager, Model Infrastructure

🏢 ОфисMiddleПолная занятость
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Наша компания

WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

О роли

This is a rare chance to help build a generational company at a true inflection point. With 2400+ customers in 70+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, take

Чем предстоит заниматься

Lead and grow a high-performing team of software engineers responsible for Harvey's Model Infrastructure platform
Define the technical roadmap for model reliability, scalability, and operational excellence
Build highly reliable systems for model provisioning, capacity management, failover, and incident response across multiple AI providers
Own Harvey's multi-provider model platform, including provider integrations, SDK upgrades, API migrations, and onboarding new model providers
Drive the evolution of our Unified Model Controller (UMC) and Model Selector platform to automatically detect degraded models and intelligently route traffic based on health, latency, quality, compliance, and cost
Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end model telemetry
Partner with Product Engineering to support new model launches, capacity planning, experimentation, and proactive production monitoring
Lead initiatives to improve inference efficiency, reduce infrastructure costs, and increase model utilization across providers
Build the infrastructure foundation for Harvey's future model training efforts, including data pipelines, model operations, training environments, and AI platform capabilities
Partner with executive leadership on long-term AI infrastructure strategy and vendor relationships
Recruit, mentor, and develop exceptional engineering talent while fostering a culture of technical excellence and operational ownership

Наши требования

Experience with AI infrastructure, LLM serving, or machine learning platforms
Experience working with multiple model providers such as OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source model ecosystems
Experience building inference platforms, model gateways, traffic routing systems, or policy-based serving infrastructure
Experience with Kubernetes, cloud infrastructure, distributed systems, and large-scale observability platforms
Experience supporting GPU infrastructure, model training platforms, or ML infrastructure
Familiarity with data platforms and technologies such as Spark, Kafka, Flink, Airflow, or Iceberg
Experience leading organizations through periods of rapid growth and technical transformation
8+ years of software engineering experience, including multiple years managing high-performing engineering teams
Experience leading teams responsible for large-scale distributed systems or cloud infrastructure
Strong technical background that enables you to guide architectural decisions and mentor senior engineers
Experience operating highly available production services with strong reliability and operational excellence
Experience building platforms that require scalability, observability, automation, and cost optimization
Strong cross-functional leadership skills with the ability to partner effectively across Engineering, Research, Product, and external vendors
Excellent communication skills and the ability to influence technical strategy across organizations
A passion for building teams and developing engineering talent

Дополнительно

$260,000 - $340,000 USD
H
Harvey
San Francisco

ГрейдMiddle
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано22 июля
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