{"schemaVersion":"jobsearcher.job.v1","id":"c538c3a896a41c9ca62f214a","url":"https://jobsearcher.com/jobs/c538c3a896a41c9ca62f214a","canonicalUrl":"https://jobsearcher.com/jobs/c538c3a896a41c9ca62f214a","title":"Artificial Intelligence Engineer","description":"🚀 Lead Applied AI Engineer | San Francisco, CA (Onsite)We're partnering with an exciting, well-funded AI startup building the next generation of AI-powered design tools. This is an opportunity to lead the AI architecture behind a cutting-edge product used to transform how designers work.If you're passionate about building production-grade AI systems—not just experimenting with models—this could be a great fit.CompensationBase Salary: $275,000–$350,000Meaningful equity packageLocation📍 San Francisco, CA (Onsite, 5 days/week)What You'll DoDesign, build, and optimize AI agents for production use.Fine-tune and deploy language models for real-world applications.Build and maintain low-latency, high-accuracy AI infrastructure.Own AI systems end-to-end, from architecture through deployment.Collaborate closely with engineering leadership to deliver AI-powered product features.Evaluate model performance and continuously improve quality, latency, and reliability.Must-Have Qualifications5+ years of experience in backend engineering or applied AI engineering.Hands-on experience building AI agents.Experience building Small Language Models (SLMs).Strong proficiency in TypeScript, Node.js, and Python.Experience designing and managing infrastructure for low-latency, high-performance AI systems.Undergraduate degree in Computer Science or a related technical field.Ability to own technical execution from architecture through production.Nice-to-Have QualificationsExperience owning AI architecture and technical direction for a product.Experience with model fine-tuning techniques such as LoRA, distillation, or similar approaches.Startup or high-growth company experience.Experience deploying and scaling production LLM applications.Ideal CandidateBuilder with a strong product mindset.Comfortable working in a fast-paced startup environment.Excited to solve complex AI infrastructure and performance challenges.Enjoys taking ownership and delivering end-to-end solutions.","company":"Glc","rawCompany":"glc","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-15T09:19:40.250Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Engineer","description":"🚀 Lead Applied AI Engineer | San Francisco, CA (Onsite)We're partnering with an exciting, well-funded AI startup building the next generation of AI-powered design tools. This is an opportunity to lead the AI architecture behind a cutting-edge product used to transform how designers work.If you're passionate about building production-grade AI systems—not just experimenting with models—this could be a great fit.CompensationBase Salary: $275,000–$350,000Meaningful equity packageLocation📍 San Francisco, CA (Onsite, 5 days/week)What You'll DoDesign, build, and optimize AI agents for production use.Fine-tune and deploy language models for real-world applications.Build and maintain low-latency, high-accuracy AI infrastructure.Own AI systems end-to-end, from architecture through deployment.Collaborate closely with engineering leadership to deliver AI-powered product features.Evaluate model performance and continuously improve quality, latency, and reliability.Must-Have Qualifications5+ years of experience in backend engineering or applied AI engineering.Hands-on experience building AI agents.Experience building Small Language Models (SLMs).Strong proficiency in TypeScript, Node.js, and Python.Experience designing and managing infrastructure for low-latency, high-performance AI systems.Undergraduate degree in Computer Science or a related technical field.Ability to own technical execution from architecture through production.Nice-to-Have QualificationsExperience owning AI architecture and technical direction for a product.Experience with model fine-tuning techniques such as LoRA, distillation, or similar approaches.Startup or high-growth company experience.Experience deploying and scaling production LLM applications.Ideal CandidateBuilder with a strong product mindset.Comfortable working in a fast-paced startup environment.Excited to solve complex AI infrastructure and performance challenges.Enjoys taking ownership and delivering end-to-end solutions.","datePosted":"2026-07-15T09:19:40.250Z","dateModified":"2026-07-15T09:19:40.250Z","hiringOrganization":{"@type":"Organization","name":"Glc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c538c3a896a41c9ca62f214a"},"url":"https://jobsearcher.com/jobs/c538c3a896a41c9ca62f214a"}}