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Harvey
San Francisco, California, USA
Source: Harvey careers · View original posting
From Harvey's posting. “We” and “our” refer to the employer.
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.
This is a rare chance to help build a generational company at a true inflection point. We have 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, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
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.
Nice to Have
Experience with AI infrastructure, LLM serving, or machine learning platforms.
Experience with model routing, inference gateways, or policy-based serving systems.
Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.
Experience with Kubernetes, cloud infrastructure, and service mesh technologies.
Experience with large-scale observability and SRE best practices.
Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
Familiarity with GPU infrastructure or model training platforms.
Compensation
$231,000 - $340,000 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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