2 months ago
Base Salary
$236k - $290k/yr
Responsibilities
- Lead the design and implementation of Harvey’s Model Infrastructure platform.
- Build highly available, low-latency, operationally excellent systems for AI inference.
- Design and improve the Unified Model Controller and Model Selector for policy-based routing and model health management.
- Develop model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
- Integrate new model providers and maintain provider APIs and SDKs.
- Improve observability with health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
- Partner with Product Engineering on model launches, experimentation, and production AI workload monitoring.
- Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
- Collaborate with AI Research on infrastructure for model evaluation, training, and deployment.
- Lead cross-functional technical initiatives and mentor engineers across the organization.
Requirements
- 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.
- Experience with AI infrastructure, LLM serving, machine learning platforms, model routing, inference gateways, or policy-based serving systems is preferred.
- Experience with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, open-source LLMs, Kubernetes, cloud infrastructure, service mesh technologies, large-scale observability, SRE practices, Kafka, Spark, Flink, Airflow, Iceberg, GPU infrastructure, or model training platforms is preferred.
Tech Stack
Categories
About Harvey
Harvey is domain-specific AI for legal and professional services. Adopted by Fortune 500 companies like AT&T, Verizon, Cox, Koch, KKR, Bridgewater, more than 100,000 lawyers across 2,400+ customers in 70 countries and over 75% of AmLaw 100 law firms rely on Harvey to advance legal expertise faster across contract analysis, due diligence, compliance, and litigation. Backed by Sequoia Capital, OpenAI, GV, Kleiner Perkins, Coatue and EQT, Harvey is the trusted partner in modernizing the legal industry.