{"schemaVersion":"jobsearcher.job.v1","id":"2ec28307060b216e07db0764","url":"https://jobsearcher.com/jobs/2ec28307060b216e07db0764","canonicalUrl":"https://jobsearcher.com/jobs/2ec28307060b216e07db0764","title":"Software Engineer, Platform / Applied AI (Full-Stack)","description":"San Francisco, CA On-site Full-time Compensation: $180,000–$220,000 + competitive equityAbout The CompanyAn AI research lab pushing the boundaries of artificial intelligence through novel datasets and experimentation, with the frontier foundation-model labs as its customers. Backed by top-tier investors, growing fast with strong revenue traction, and building out its founding engineering team.Founded 2025 11–50 people Industry: AI research / data infrastructureThe RoleAs one of the core engineers, you'll help build the data infrastructure shaping the next generation of frontier models. You'll be one of the first hires, own entire projects end-to-end, and see your impact immediately.What You'll Be DoingBuild and scale complex data-capture workflows across web (Next.js) and desktop (Python)Architect and optimize high-throughput data pipelines under heavy loadCollaborate with the founding team to define product strategy and ship features fastSet engineering best practices and lay the groundwork for future team growthTech stack: Next.js / JavaScript / TypeScript, Python, Go GCP/AWS (serverless, cloud functions) Kubernetes Redis Elasticsearch Kafka / RabbitMQ NoSQL APIsRequirementsMust come from a top university (US/Canadian/UK), top quant firm, or have founding engineer experience.Strong coding fundamentals in Node.js / TypeScript, Python and/or Go.Deep understanding of distributed systems, scalability challenges, and system design.Familiarity with cloud platforms (GCP/AWS), Kubernetes, APIs, NoSQL databases.Ability to reason about trade-offs and balance speed vs reliability.Strong communication skills and a bias toward ownership, curiosity, and delivering simple solutions to complex problems.Bonus: Experience with RL environments, agentic systems, or human-in-the-loop workflows.Green FlagsGitHub is filled green, a builder at heartExperience working with AI-agents and RL environmentsPreferably someone who has worked at a top tier quant firm or as a founding eng (or multiple internships) at high-growth startupsHas trialed or succeeded in past fast-paced startup roles with strong references.Works autonomously, yet collaboratively, and doesn't burn out under heavy load.We want a SWE that can pretty much work banker hoursEx-founders where their product is pretty sophisticated and complexRed FlagsIsn't proactiveCan't articulate why they want to pivot into AI ops or join a startup now.Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.Wants work life balanceWhy JoinFounding role — own and define the data infrastructure from day one, with immediate visible impactBuild the data infrastructure shaping frontier-model development, serving the frontier AI labsFast-growing company with strong revenue traction and a path to lead and grow an engineering teamCompetitive salary + equity (4-year vest), daily lunch & dinner, free gym membership, health insuranceDetailsLocation: San Francisco, CAWork policy: On-siteCompensation: $180,000–$220,000 + equityVisa sponsorship: O-1, OPTEmployment type: Full-time","company":"David Joseph Company","rawCompany":"david joseph company","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-12T10:44:24.013Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Platform / Applied AI (Full-Stack)","description":"San Francisco, CA On-site Full-time Compensation: $180,000–$220,000 + competitive equityAbout The CompanyAn AI research lab pushing the boundaries of artificial intelligence through novel datasets and experimentation, with the frontier foundation-model labs as its customers. Backed by top-tier investors, growing fast with strong revenue traction, and building out its founding engineering team.Founded 2025 11–50 people Industry: AI research / data infrastructureThe RoleAs one of the core engineers, you'll help build the data infrastructure shaping the next generation of frontier models. You'll be one of the first hires, own entire projects end-to-end, and see your impact immediately.What You'll Be DoingBuild and scale complex data-capture workflows across web (Next.js) and desktop (Python)Architect and optimize high-throughput data pipelines under heavy loadCollaborate with the founding team to define product strategy and ship features fastSet engineering best practices and lay the groundwork for future team growthTech stack: Next.js / JavaScript / TypeScript, Python, Go GCP/AWS (serverless, cloud functions) Kubernetes Redis Elasticsearch Kafka / RabbitMQ NoSQL APIsRequirementsMust come from a top university (US/Canadian/UK), top quant firm, or have founding engineer experience.Strong coding fundamentals in Node.js / TypeScript, Python and/or Go.Deep understanding of distributed systems, scalability challenges, and system design.Familiarity with cloud platforms (GCP/AWS), Kubernetes, APIs, NoSQL databases.Ability to reason about trade-offs and balance speed vs reliability.Strong communication skills and a bias toward ownership, curiosity, and delivering simple solutions to complex problems.Bonus: Experience with RL environments, agentic systems, or human-in-the-loop workflows.Green FlagsGitHub is filled green, a builder at heartExperience working with AI-agents and RL environmentsPreferably someone who has worked at a top tier quant firm or as a founding eng (or multiple internships) at high-growth startupsHas trialed or succeeded in past fast-paced startup roles with strong references.Works autonomously, yet collaboratively, and doesn't burn out under heavy load.We want a SWE that can pretty much work banker hoursEx-founders where their product is pretty sophisticated and complexRed FlagsIsn't proactiveCan't articulate why they want to pivot into AI ops or join a startup now.Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.Wants work life balanceWhy JoinFounding role — own and define the data infrastructure from day one, with immediate visible impactBuild the data infrastructure shaping frontier-model development, serving the frontier AI labsFast-growing company with strong revenue traction and a path to lead and grow an engineering teamCompetitive salary + equity (4-year vest), daily lunch & dinner, free gym membership, health insuranceDetailsLocation: San Francisco, CAWork policy: On-siteCompensation: $180,000–$220,000 + equityVisa sponsorship: O-1, OPTEmployment type: Full-time","datePosted":"2026-07-12T10:44:24.013Z","dateModified":"2026-07-12T10:44:24.013Z","hiringOrganization":{"@type":"Organization","name":"David Joseph Company","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2ec28307060b216e07db0764"},"url":"https://jobsearcher.com/jobs/2ec28307060b216e07db0764"}}