{"schemaVersion":"jobsearcher.job.v1","id":"c00a89bcd53bbcfe9f8b52e1","url":"https://jobsearcher.com/jobs/c00a89bcd53bbcfe9f8b52e1","canonicalUrl":"https://jobsearcher.com/jobs/c00a89bcd53bbcfe9f8b52e1","title":"AI Engineer","description":"We're looking for an AI Engineer to build reliable AI software for real business operations. You will work with the founding team and the engineering team to take an operating problem from prototype to a deployed system that people can depend on.\r\nThe role combines hands‑on software engineering with applied AI: integrating models and tools, designing agent workflows, connecting enterprise data and APIs, and measuring how the system behaves under real conditions. You will own implementation details while helping decide where AI adds value and where conventional software is the better choice.\r\nThis role has a hybrid work arrangement in San Francisco.\r\nBuild and deploy LLM‑powered workflows and agents, including tool integrations, state management, and failure handling.\r\nConnect AI systems to enterprise APIs, databases, documents, and existing operational tools.\r\nBuild retrieval and knowledge workflows when the use case requires them.\r\nCreate evaluation datasets and checks that measure task completion, output quality, and regressions.\r\nImprove reliability, latency, and cost through testing, instrumentation, and production monitoring.\r\nWork with AI Strategists and engineers to turn workflow requirements into clear technical decisions and usable systems.\r\nDocument technical decisions and contribute reusable engineering components and practices.\r\nA track record of shipping AI‑powered software used by real users, with personal ownership of significant technical decisions and production outcomes.\r\nStrong backend engineering in Python and/or TypeScript, including API design, data modeling, asynchronous processing, and automated testing.\r\nHands‑on experience designing multi‑step AI or agent workflows with tool use, explicit state management, retries, idempotency, and recovery from partial failures.\r\nExperience building evaluations from representative tasks and data, analyzing failure patterns, and using regression checks to make release decisions.\r\nAbility to diagnose failures across model behavior, prompts, retrieval, application code, and external systems, and turn that diagnosis into a durable fix.\r\nEvidence of improving reliability, latency, or cost in a deployed system, supported by measurements and concrete technical tradeoffs.\r\nAbility to discuss systems you personally built in depth: architecture choices, failure modes, testing approach, and what changed after deployment.\r\nValid authorization to work in the United States.\r\nFamiliarity with retrieval systems, vector databases, and evaluation tooling.\r\nExperience with enterprise integrations, asynchronous workflows, or human‑in‑the‑loop systems.\r\nExperience with cloud infrastructure, CI/CD, and observability.\r\nExperience working directly with users or clients to improve a deployed system.#J-18808-Ljbffr","company":"Tryscope","rawCompany":"tryscope","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-13T01:43:40.344Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"We're looking for an AI Engineer to build reliable AI software for real business operations. You will work with the founding team and the engineering team to take an operating problem from prototype to a deployed system that people can depend on.\r\nThe role combines hands‑on software engineering with applied AI: integrating models and tools, designing agent workflows, connecting enterprise data and APIs, and measuring how the system behaves under real conditions. You will own implementation details while helping decide where AI adds value and where conventional software is the better choice.\r\nThis role has a hybrid work arrangement in San Francisco.\r\nBuild and deploy LLM‑powered workflows and agents, including tool integrations, state management, and failure handling.\r\nConnect AI systems to enterprise APIs, databases, documents, and existing operational tools.\r\nBuild retrieval and knowledge workflows when the use case requires them.\r\nCreate evaluation datasets and checks that measure task completion, output quality, and regressions.\r\nImprove reliability, latency, and cost through testing, instrumentation, and production monitoring.\r\nWork with AI Strategists and engineers to turn workflow requirements into clear technical decisions and usable systems.\r\nDocument technical decisions and contribute reusable engineering components and practices.\r\nA track record of shipping AI‑powered software used by real users, with personal ownership of significant technical decisions and production outcomes.\r\nStrong backend engineering in Python and/or TypeScript, including API design, data modeling, asynchronous processing, and automated testing.\r\nHands‑on experience designing multi‑step AI or agent workflows with tool use, explicit state management, retries, idempotency, and recovery from partial failures.\r\nExperience building evaluations from representative tasks and data, analyzing failure patterns, and using regression checks to make release decisions.\r\nAbility to diagnose failures across model behavior, prompts, retrieval, application code, and external systems, and turn that diagnosis into a durable fix.\r\nEvidence of improving reliability, latency, or cost in a deployed system, supported by measurements and concrete technical tradeoffs.\r\nAbility to discuss systems you personally built in depth: architecture choices, failure modes, testing approach, and what changed after deployment.\r\nValid authorization to work in the United States.\r\nFamiliarity with retrieval systems, vector databases, and evaluation tooling.\r\nExperience with enterprise integrations, asynchronous workflows, or human‑in‑the‑loop systems.\r\nExperience with cloud infrastructure, CI/CD, and observability.\r\nExperience working directly with users or clients to improve a deployed system.#J-18808-Ljbffr","datePosted":"2026-11-13T01:43:40.344Z","dateModified":"2026-11-13T01:43:40.344Z","hiringOrganization":{"@type":"Organization","name":"Tryscope","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c00a89bcd53bbcfe9f8b52e1"},"url":"https://jobsearcher.com/jobs/c00a89bcd53bbcfe9f8b52e1"}}