{"schemaVersion":"jobsearcher.job.v1","id":"2f027ca91b5699764d8a3cd5","url":"https://jobsearcher.com/jobs/2f027ca91b5699764d8a3cd5","canonicalUrl":"https://jobsearcher.com/jobs/2f027ca91b5699764d8a3cd5","title":"Software Engineer, DevAI","description":"OverviewIn this role you will help build the data and evaluation flywheel for large-scale, agentic software engineering. You will drive intelligence, reliability, and autonomy of coding agents within a multi-repo, AI-driven environment. You collaborate with distributed teams to shape technical roadmaps and oversee project execution, while nurturing a culture of sustainable innovation. Your work directly impacts automated refactoring, optimization, and agent performance at scale, balancing customer needs with product-area goals. This is a chance to contribute to Google's next generation of AI-assisted coding tools and workflows.Compensation / Benefitsbonus targetequitybenefitsResponsibilitiesBuild and improve data and evaluation flywheels for agentic coding systemsTransform execution trajectories into actionable loss analysis to guide improvementsDevelop automated skill-improvement workflows and hillclimbing for agent success ratesEvaluate and maintain coding agents across multi-repo tasks (refactoring, proto optimization, dependency pruning, Mendel flag deprecation)Focus on AI verifier, quality hillclimbing, and trajectory analysis within coding agentsCollaborate with distributed teams to define roadmaps and ensure alignment and deliveryKey requirementsBachelor in any field or equivalent practical experience2 years of Python coding experience2 years of experience with Generative AI2 years of experience with Large Language ModelsExperience with Agentic AI, evaluation, and quality hill climbingExperience with prompt engineering; using, interacting, and evaluating AI Agents or LLMs in coding spaceCross-functional collaborationAmbiguity tolerance and rapid iterationPsychological safety and inclusive teamworkPythonGenerative AILarge Language Models","company":"Google","rawCompany":"google","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:12:00.670Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, DevAI","description":"OverviewIn this role you will help build the data and evaluation flywheel for large-scale, agentic software engineering. You will drive intelligence, reliability, and autonomy of coding agents within a multi-repo, AI-driven environment. You collaborate with distributed teams to shape technical roadmaps and oversee project execution, while nurturing a culture of sustainable innovation. Your work directly impacts automated refactoring, optimization, and agent performance at scale, balancing customer needs with product-area goals. This is a chance to contribute to Google's next generation of AI-assisted coding tools and workflows.Compensation / Benefitsbonus targetequitybenefitsResponsibilitiesBuild and improve data and evaluation flywheels for agentic coding systemsTransform execution trajectories into actionable loss analysis to guide improvementsDevelop automated skill-improvement workflows and hillclimbing for agent success ratesEvaluate and maintain coding agents across multi-repo tasks (refactoring, proto optimization, dependency pruning, Mendel flag deprecation)Focus on AI verifier, quality hillclimbing, and trajectory analysis within coding agentsCollaborate with distributed teams to define roadmaps and ensure alignment and deliveryKey requirementsBachelor in any field or equivalent practical experience2 years of Python coding experience2 years of experience with Generative AI2 years of experience with Large Language ModelsExperience with Agentic AI, evaluation, and quality hill climbingExperience with prompt engineering; using, interacting, and evaluating AI Agents or LLMs in coding spaceCross-functional collaborationAmbiguity tolerance and rapid iterationPsychological safety and inclusive teamworkPythonGenerative AILarge Language Models","datePosted":"2026-10-26T13:12:00.670Z","dateModified":"2026-10-26T13:12:00.670Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2f027ca91b5699764d8a3cd5"},"url":"https://jobsearcher.com/jobs/2f027ca91b5699764d8a3cd5"}}