Why Harvey

At Harvey were transforming how legal and professional services operate. By combining frontier agentic AI an enterprise-grade platform and deep domain expertise were 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. With 2400 customers in 70 countries strong product-market fit and world-class investor support were 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 Jobs Not Finished. We act quickly on clear judgment over perfect information we believe simplicity is what scales and were never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive wed love to build with you.

At Harvey the future of professional services is being written today and were just getting started.

Role Overview

As a Staff Software Engineer on the Model Infrastructure team youll lead the design and development of the systems that power every AI request at Harvey. Youll partner closely with AI Research Product Engineering Infrastructure and external model providers to build a platform that is highly reliable scalable observable and efficient.

What Youll Do

• Lead the design and implementation of Harveys Model Infrastructure platform.

• Build systems to ensure high availability low latency and operational excellence for AI inference.

• Design and improve Harveys 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.

What Youll Build

Youll help build the core platform behind Harveys AI capabilities including:

Model Reliability & Operations

• Model health monitoring

• Automated failover and recovery

• Capacity provisioning

• Operational tooling and incident automation

Unified Model Controller (UMC)

• Policy-based model routing

• Intelligent Model Selector

• Model health monitoring

• Traffic management

• Reliability and latency optimization

Provider Platform

• Multi-provider architecture

• API and SDK integrations

• OpenAI Anthropic Azure OpenAI Fireworks Baseten and future providers

• Rapid adoption of new frontier models

Observability & Cost Platform

• Token usage analytics

• Cost attribution

• Latency and reliability dashboards

• Capacity forecasting

• Utilization optimization

AI Platform Foundation

• Infrastructure supporting model evaluation

• Model deployment and operations

• Future model training platform

• Agent infrastructure and CcaaS

What You Have

• 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 Range

$236000 - $290000 USD

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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.

We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made by emailing

Required Experience:

Staff IC