{"schemaVersion":"jobsearcher.job.v1","id":"f582a4932aaa5b5f795b0ab5","url":"https://jobsearcher.com/jobs/f582a4932aaa5b5f795b0ab5","canonicalUrl":"https://jobsearcher.com/jobs/f582a4932aaa5b5f795b0ab5","title":"Senior Software Engineer, Model Infrastructure","description":"Location\n\nSan Francisco\n\nEmployment Type\n\nFull time\n\nLocation Type\n\nHybrid\n\nDepartment\n\nEngineering\n\nCompensation\n$193.4K – $290K • Offers Equity • Offers Bonus\n\nAdditionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.\nWhy Harvey\n\nAt 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.\n\nThis 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.\n\nOur 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.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\nRole Overview\n\nAs 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.\n\nWhat You'll Build\n\nModel Reliability & Operations\n\nModel health monitoring\n\nAutomated failover and recovery\n\nCapacity provisioning\n\nOperational tooling and incident automation\n\nUnified Model Controller (UMC)\n\nPolicy-based model routing\n\nIntelligent Model Selector\n\nModel health monitoring\n\nTraffic management\n\nReliability and latency optimization\n\nProvider Platform\n\nMulti-provider architecture\n\nAPI and SDK integrations\n\nOpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers\n\nRapid adoption of new frontier models\n\nObservability & Cost Platform\n\nToken usage analytics\n\nCost attribution\n\nLatency and reliability dashboards\n\nCapacity forecasting\n\nUtilization optimization\n\nAI Platform Foundation\n\nInfrastructure supporting model evaluation\n\nModel deployment and operations\n\nFuture model training platform\n\nAgent infrastructure and CcaaS\n\nWhat You'll Do\n\nLead the design and implementation of Harvey's Model Infrastructure platform.\n\nBuild systems to ensure high availability, low latency, and operational excellence for AI inference.\n\nDesign and improve Harvey's 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.\n\nDevelop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.\n\nIntegrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.\n\nImprove observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.\n\nPartner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.\n\nDrive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.\n\nCollaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.\n\nLead cross-functional technical initiatives and mentor engineers across the organization.\n\nWhat You Have\n\n4+ years of software engineering experience building large-scale distributed systems.\n\nExperience designing and operating highly available production services.\n\nStrong programming skills in Go, Java, Python, Rust, or C++.\n\nDeep understanding of distributed systems, cloud infrastructure, networking, and observability.\n\nExperience leading technical projects across multiple engineering teams.\n\nAbility to balance long-term architecture with pragmatic execution.\n\nStrong communication and collaboration skills.\n\nPassion for building foundational platforms that enable other engineering teams.\n\nNice to Have\n\nExperience with AI infrastructure, LLM serving, or machine learning platforms.\n\nExperience with model routing, inference gateways, or policy-based serving systems.\n\nExperience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.\n\nExperience with Kubernetes, cloud infrastructure, and service mesh technologies.\n\nExperience with large-scale observability and SRE best practices.\n\nExperience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.\n\nFamiliarity with GPU infrastructure or model training platforms.\n\nCompensation\n\n$193,400 - 290,000 USD\n\nDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.\n\n#LI-AK1\n\nHarvey 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.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","company":"Harvey","rawCompany":"harvey","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-08T08:55:00.793Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Model Infrastructure","description":"Location\n\nSan Francisco\n\nEmployment Type\n\nFull time\n\nLocation Type\n\nHybrid\n\nDepartment\n\nEngineering\n\nCompensation\n$193.4K – $290K • Offers Equity • Offers Bonus\n\nAdditionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.\nWhy Harvey\n\nAt 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.\n\nThis 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.\n\nOur 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.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\nRole Overview\n\nAs 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.\n\nWhat You'll Build\n\nModel Reliability & Operations\n\nModel health monitoring\n\nAutomated failover and recovery\n\nCapacity provisioning\n\nOperational tooling and incident automation\n\nUnified Model Controller (UMC)\n\nPolicy-based model routing\n\nIntelligent Model Selector\n\nModel health monitoring\n\nTraffic management\n\nReliability and latency optimization\n\nProvider Platform\n\nMulti-provider architecture\n\nAPI and SDK integrations\n\nOpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers\n\nRapid adoption of new frontier models\n\nObservability & Cost Platform\n\nToken usage analytics\n\nCost attribution\n\nLatency and reliability dashboards\n\nCapacity forecasting\n\nUtilization optimization\n\nAI Platform Foundation\n\nInfrastructure supporting model evaluation\n\nModel deployment and operations\n\nFuture model training platform\n\nAgent infrastructure and CcaaS\n\nWhat You'll Do\n\nLead the design and implementation of Harvey's Model Infrastructure platform.\n\nBuild systems to ensure high availability, low latency, and operational excellence for AI inference.\n\nDesign and improve Harvey's 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.\n\nDevelop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.\n\nIntegrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.\n\nImprove observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.\n\nPartner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.\n\nDrive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.\n\nCollaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.\n\nLead cross-functional technical initiatives and mentor engineers across the organization.\n\nWhat You Have\n\n4+ years of software engineering experience building large-scale distributed systems.\n\nExperience designing and operating highly available production services.\n\nStrong programming skills in Go, Java, Python, Rust, or C++.\n\nDeep understanding of distributed systems, cloud infrastructure, networking, and observability.\n\nExperience leading technical projects across multiple engineering teams.\n\nAbility to balance long-term architecture with pragmatic execution.\n\nStrong communication and collaboration skills.\n\nPassion for building foundational platforms that enable other engineering teams.\n\nNice to Have\n\nExperience with AI infrastructure, LLM serving, or machine learning platforms.\n\nExperience with model routing, inference gateways, or policy-based serving systems.\n\nExperience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.\n\nExperience with Kubernetes, cloud infrastructure, and service mesh technologies.\n\nExperience with large-scale observability and SRE best practices.\n\nExperience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.\n\nFamiliarity with GPU infrastructure or model training platforms.\n\nCompensation\n\n$193,400 - 290,000 USD\n\nDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.\n\n#LI-AK1\n\nHarvey 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.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","datePosted":"2026-09-08T08:55:00.793Z","dateModified":"2026-09-08T08:55:00.793Z","hiringOrganization":{"@type":"Organization","name":"Harvey","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f582a4932aaa5b5f795b0ab5"},"url":"https://jobsearcher.com/jobs/f582a4932aaa5b5f795b0ab5"}}