Senior Platform Engineer, Applied AI

Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.Senior Platform Engineer, Applied AILocation - San Francisco, CA - (On-site, 5 Days Per Week)Compensation - $250,000 - $350,000 Base (OTE: $300,000 - $450,000) + Competitive EquityVisa - Visa Sponsorship AvailableCompany Stage - Series A ($30M Raised)Industry - Artificial Intelligence, Data Infrastructure, AI Evaluation, Human-in-the-Loop Systems, Distributed Systems, Developer Infrastructure, Enterprise AIAbout the CompanyThe company is building the foundational data and evaluation infrastructure powering the world’s leading frontier AI labs.Its platform enables organizations to generate, manage, evaluate, and improve high-quality datasets that power the next generation of large language models and AI systems. By combining human-in-the-loop workflows, scalable distributed infrastructure, and modern AI tooling, the company has become critical infrastructure for some of the fastest-moving AI organizations in the world.Backed by Y Combinator, the company has scaled from $0 to over $100M ARR in just 14 months after raising a $30M Series A at a $300M valuation. As the business rapidly expands across multiple AI verticals, it is investing heavily in the core platform that powers every product and engineering team.As a Senior Platform Engineer, Applied AI, you’ll own the shared infrastructure that enables AI data generation, evaluation pipelines, distributed compute, and developer productivity while partnering closely with engineering leadership to scale one of the fastest-growing AI infrastructure companies in the market.This is a rare opportunity to join an AI-native startup where engineers own foundational platform architecture, influence company-wide technical direction, and build infrastructure powering frontier AI development at massive scale.What You’ll DoDesign and build the core platform infrastructure powering AI data generation and evaluation systemsArchitect highly scalable distributed systems supporting high-throughput AI workloadsBuild shared platform services used across multiple engineering teams and AI productsDesign cloud-native infrastructure across Kubernetes, distributed compute, storage, and networkingImprove platform scalability, observability, reliability, fault tolerance, and performanceBuild internal developer platforms, deployment tooling, and engineering infrastructureDevelop backend services using Node.js and PythonDesign distributed messaging, caching, and data processing systems using Kafka, Redis, and ElasticsearchPartner closely with product engineering teams to accelerate feature development through shared infrastructureLead architecture decisions around platform scalability, cloud infrastructure, and distributed systemsMentor engineers while establishing engineering best practices across platform architectureContinuously improve deployment automation, monitoring, developer productivity, and operational excellenceIdeal Candidate BackgroundExperience Requirements6-10 years of software engineering experienceExperience building platform infrastructure or distributed backend systemsExperience working at high-growth VC-backed startups or data infrastructure companiesExperience owning core infrastructure with significant engineering impactExperience designing highly scalable production systemsExperience building developer platforms or shared infrastructure servicesExperience mentoring engineers and influencing technical directionStrong startup ownership with demonstrated engineering leadershipTechnical RequirementsStrong backend engineering experience with Node.js and/or PythonDeep experience with Kubernetes and cloud-native infrastructureExperience building distributed systems handling high-throughput workloadsStrong understanding of AWS or GCP cloud architectureExperience with Kafka, Redis, Elasticsearch, or similar distributed technologiesStrong knowledge of observability, reliability engineering, and production operationsExperience building developer tooling, deployment systems, or internal platformsExperience designing highly available backend services and platform APIsStrong software engineering fundamentals across scalability, reliability, and distributed architectureExperience supporting AI infrastructure, data infrastructure, or large-scale compute systems preferredEducationBachelor’s degree in Computer Science or another technical discipline from a top engineering program preferredStrong academic background from a Top-30 Computer Science university (US, Canada, or Europe) preferredExceptional candidates with outstanding infrastructure engineering experience consideredSoft SkillsStrong systems thinkingHigh ownership mentalityExcellent technical communicationComfortable operating with ambiguityStrong collaboration skillsStartup mentality with high execution velocityStructured problem solverEngineering leadership mindsetPassion for building scalable infrastructureEnjoys mentoring and elevating engineering teamsCompensation & BenefitsBase Salary: $250,000 - $350,000OTE: $300,000 - $450,000Competitive Equity Package5 Days/Week On-site in San FranciscoOpportunity to build foundational infrastructure for frontier AI companiesDirect collaboration with founders and engineering leadershipSignificant ownership over platform architecture and technical directionHigh-impact engineering culture with exceptional career growthFast-growing AI infrastructure company with proven product-market fitOpportunity to shape the future of AI data infrastructureWhy JoinThis is an opportunity to build one of the most important infrastructure platforms powering frontier AI development.You’ll work at the intersection of distributed systems, cloud infrastructure, developer platforms, and AI data generation while architecting the foundational systems that enable leading AI organizations to build and evaluate next-generation models.As a Senior Platform Engineer, Applied AI, you’ll own mission-critical infrastructure, collaborate directly with leadership, and help scale one of the fastest-growing AI companies in the industry. Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Senior Platform Engineer, Applied AILocation - San Francisco, CA - (On-site, 5 Days Per Week)Compensation - $250,000 - $350,000 Base (OTE: $300,000 - $450,000) + Competitive EquityVisa - Visa Sponsorship AvailableCompany Stage - Series A ($30M Raised)Industry - Artificial Intelligence, Data Infrastructure, AI Evaluation, Human-in-the-Loop Systems, Distributed Systems, Developer Infrastructure, Enterprise AIAbout the CompanyThe company is building the foundational data and evaluation infrastructure powering the world’s leading frontier AI labs.Its platform enables organizations to generate, manage, evaluate, and improve high-quality datasets that power the next generation of large language models and AI systems. By combining human-in-the-loop workflows, scalable distributed infrastructure, and modern AI tooling, the company has become critical infrastructure for some of the fastest-moving AI organizations in the world.Backed by Y Combinator, the company has scaled from $0 to over $100M ARR in just 14 months after raising a $30M Series A at a $300M valuation. As the business rapidly expands across multiple AI verticals, it is investing heavily in the core platform that powers every product and engineering team.As a Senior Platform Engineer, Applied AI, you’ll own the shared infrastructure that enables AI data generation, evaluation pipelines, distributed compute, and developer productivity while partnering closely with engineering leadership to scale one of the fastest-growing AI infrastructure companies in the market.This is a rare opportunity to join an AI-native startup where engineers own foundational platform architecture, influence company-wide technical direction, and build infrastructure powering frontier AI development at massive scale.What You’ll DoDesign and build the core platform infrastructure powering AI data generation and evaluation systemsArchitect highly scalable distributed systems supporting high-throughput AI workloadsBuild shared platform services used across multiple engineering teams and AI productsDesign cloud-native infrastructure across Kubernetes, distributed compute, storage, and networkingImprove platform scalability, observability, reliability, fault tolerance, and performanceBuild internal developer platforms, deployment tooling, and engineering infrastructureDevelop backend services using Node.js and PythonDesign distributed messaging, caching, and data processing systems using Kafka, Redis, and ElasticsearchPartner closely with product engineering teams to accelerate feature development through shared infrastructureLead architecture decisions around platform scalability, cloud infrastructure, and distributed systemsMentor engineers while establishing engineering best practices across platform architectureContinuously improve deployment automation, monitoring, developer productivity, and operational excellenceIdeal Candidate BackgroundExperience Requirements6-10 years of software engineering experienceExperience building platform infrastructure or distributed backend systemsExperience working at high-growth VC-backed startups or data infrastructure companiesExperience owning core infrastructure with significant engineering impactExperience designing highly scalable production systemsExperience building developer platforms or shared infrastructure servicesExperience mentoring engineers and influencing technical directionStrong startup ownership with demonstrated engineering leadershipTechnical RequirementsStrong backend engineering experience with Node.js and/or PythonDeep experience with Kubernetes and cloud-native infrastructureExperience building distributed systems handling high-throughput workloadsStrong understanding of AWS or GCP cloud architectureExperience with Kafka, Redis, Elasticsearch, or similar distributed technologiesStrong knowledge of observability, reliability engineering, and production operationsExperience building developer tooling, deployment systems, or internal platformsExperience designing highly available backend services and platform APIsStrong software engineering fundamentals across scalability, reliability, and distributed architectureExperience supporting AI infrastructure, data infrastructure, or large-scale compute systems preferredEducationBachelor’s degree in Computer Science or another technical discipline from a top engineering program preferredStrong academic background from a Top-30 Computer Science university (US, Canada, or Europe) preferredExceptional candidates with outstanding infrastructure engineering experience consideredSoft SkillsStrong systems thinkingHigh ownership mentalityExcellent technical communicationComfortable operating with ambiguityStrong collaboration skillsStartup mentality with high execution velocityStructured problem solverEngineering leadership mindsetPassion for building scalable infrastructureEnjoys mentoring and elevating engineering teamsCompensation & BenefitsBase Salary: $250,000 - $350,000OTE: $300,000 - $450,000Competitive Equity Package5 Days/Week On-site in San FranciscoOpportunity to build foundational infrastructure for frontier AI companiesDirect collaboration with founders and engineering leadershipSignificant ownership over platform architecture and technical directionHigh-impact engineering culture with exceptional career growthFast-growing AI infrastructure company with proven product-market fitOpportunity to shape the future of AI data infrastructureWhy JoinThis is an opportunity to build one of the most important infrastructure platforms powering frontier AI development.You’ll work at the intersection of distributed systems, cloud infrastructure, developer platforms, and AI data generation while architecting the foundational systems that enable leading AI organizations to build and evaluate next-generation models.As a Senior Platform Engineer, Applied AI, you’ll own mission-critical infrastructure, collaborate directly with leadership, and help scale one of the fastest-growing AI companies in the industry.

• 6-10 years of software engineering experience
• Experience building platform infrastructure or distributed backend systems
• Experience working at high-growth VC-backed startups or data infrastructure companies
• Experience owning core infrastructure with significant engineering impact
• Experience designing highly scalable production systems
• Experience building developer platforms or shared infrastructure services
• Experience mentoring engineers and influencing technical direction
• Strong startup ownership with demonstrated engineering leadership, * Strong backend engineering experience with Node.js and/or Python
• Deep experience with Kubernetes and cloud-native infrastructure
• Experience building distributed systems handling high-throughput workloads
• Strong understanding of AWS or GCP cloud architecture
• Experience with Kafka, Redis, Elasticsearch, or similar distributed technologies
• Strong knowledge of observability, reliability engineering, and production operations
• Experience building developer tooling, deployment systems, or internal platforms
• Experience designing highly available backend services and platform APIs
• Strong software engineering fundamentals across scalability, reliability, and distributed architecture
• Experience supporting AI infrastructure, data infrastructure, or large-scale compute systems preferred, * Bachelor’s degree in Computer Science or another technical discipline from a top engineering program preferred
• Strong academic background from a Top-30 Computer Science university (US, Canada, or Europe) preferred
• Exceptional candidates with outstanding infrastructure engineering experience considered

Soft Skills

• Strong systems thinking
• High ownership mentality
• Excellent technical communication
• Comfortable operating with ambiguity
• Strong collaboration skills
• Startup mentality with high execution velocity
• Structured problem solver
• Engineering leadership mindset
• Passion for building scalable infrastructure
• Enjoys mentoring and elevating engineering teams

• Base Salary: $250,000 - $350,000
• OTE: $300,000 - $450,000
• Competitive Equity Package
• 5 Days/Week On-site in San Francisco
• Opportunity to build foundational infrastructure for frontier AI companies
• Direct collaboration with founders and engineering leadership
• Significant ownership over platform architecture and technical direction
• High-impact engineering culture with exceptional career growth
• Fast-growing AI infrastructure company with proven product-market fit
• Opportunity to shape the future of AI data infrastructure

The company is building the foundational data and evaluation infrastructure powering the world’s leading frontier AI labs.

Its platform enables organizations to generate, manage, evaluate, and improve high-quality datasets that power the next generation of large language models and AI systems. By combining human-in-the-loop workflows, scalable distributed infrastructure, and modern AI tooling, the company has become critical infrastructure for some of the fastest-moving AI organizations in the world.

Backed by Y Combinator, the company has scaled from $0 to over $100M ARR in just 14 months after raising a $30M Series A at a $300M valuation. As the business rapidly expands across multiple AI verticals, it is investing heavily in the core platform that powers every product and engineering team., This is an opportunity to build one of the most important infrastructure platforms powering frontier AI development.

You’ll work at the intersection of distributed systems, cloud infrastructure, developer platforms, and AI data generation while architecting the foundational systems that enable leading AI organizations to build and evaluate next-generation models.

As a Senior Platform Engineer, Applied AI, you’ll own mission-critical infrastructure, collaborate directly with leadership, and help scale one of the fastest-growing AI companies in the industry.