{"schemaVersion":"jobsearcher.job.v1","id":"3fb56b1b1387af48676c2a2b","url":"https://jobsearcher.com/jobs/3fb56b1b1387af48676c2a2b","canonicalUrl":"https://jobsearcher.com/jobs/3fb56b1b1387af48676c2a2b","title":"Lead AI Engineer","description":"Employment type : Full-time employee (40 hours per week), hired directly by the client.\r\nWork arrangement : Hybrid, based at the client’s office in Frisco, TX, the San Francisco Bay Area, or New York City. You'll be on-site on an as-needed basis and work from your home office otherwise.\r\nCandidate location : Candidates must be based in or within commuting distance of one of these office locations. Relocation assistance is not available for this position.\r\nOur company description\r\nMission.dev is the next-gen staffing platform for software talent.\r\nWe help you find, evaluate, and manage top software talent (contractors or direct hires) faster, smarter, and more efficiently.\r\nPowered by AI. Backed by real humans.\r\nAbout the client\r\nThis global consumer cybersecurity organization provides integrated digital safety products designed to protect individuals and families online.\r\nIts operations are supported by a high-scale global eCommerce engine that manages millions of transactions, subscriptions, and renewals worldwide.\r\nThe company focuses on creating intuitive products that ensure secure digital experiences, leveraging a robust technical infrastructure to maintain system health and commercial performance across its global user base.\r\nAbout the Role\r\nThis is a hands-on technical role focused on building a comprehensive engineering intelligence platform.\r\nYou will own the development of a unified operational system that merges technical telemetry with commercial performance data to create a single source of truth for the organization.\r\nAdditionally, you will drive AI enablement across the engineering department by designing and shipping agents and productivity tools.\r\nYou will be responsible for the full lifecycle of data architecture and AI features, directly impacting how the company monitors system health and accelerates development velocity.\r\nWhat You'll Do\r\nDevelop production ETL/ELT pipelines and dimensional models to transform raw eCommerce and observability data into an analytics-ready state.\r\nConstruct summarized datasets and aggregation layers to support natural-language querying and executive-level reporting.\r\nEngineer a unified health dashboard that integrates system latency and error signals with commercial metrics like conversion and renewal rates.\r\nStandardize and surface engineering performance metrics, including delivery velocity, security posture, and incident trends.\r\nBuild and deploy AI agents for automated anomaly detection, incident triage, and intelligent root-cause analysis.\r\nDesign and implement LLM-powered productivity tools, including code search assistants and runbook copilots, using RAG and prompt engineering.\r\nUtilize modern lakehouse platforms to deliver internal tools, chatbots, and operational applications directly to stakeholders.\r\nCollaborate with cross-functional teams to identify automation opportunities and evangelize AI adoption across the engineering organization.\r\nWhat You Bring\r\n8+ years of experience in application development and distributed systems architecture.\r\n5+ years of production data engineering experience building ETL/ELT workflows and analytics platforms.\r\nExpert proficiency in Spark, PySpark, and SQL for large-scale data processing and performance tuning.\r\nStrong Python programming skills and extensive experience with dimensional modeling.\r\nProven experience shipping LLM-powered applications, including production RAG systems or AI agents.\r\nDeep expertise in modern lakehouse architectures and medallion data structures.\r\nProfessional background in eCommerce or similar transactional and operational data domains\r\nNice to Haves\r\nDeep technical experience with specific lakehouse governance and workflow tools.\r\nExperience utilizing AI coding assistants to accelerate development cycles.\r\nPrevious experience partnering with SRE, Security, and Architecture teams on operational tooling.\r\nPerformance-based bonus program and 401(k) retirement plan.\r\nComprehensive medical, dental, vision, and life insurance coverage.\r\nShort-term and long-term disability protection.\r\nPaid parental leave and 14 paid company holidays.\r\nUnlimited paid time off and flexible working hours.\r\nCommunity involvement and social programs.#J-18808-Ljbffr","company":"Missiondev","rawCompany":"missiondev","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T05:43:28.670Z","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":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"Lead AI Engineer","description":"Employment type : Full-time employee (40 hours per week), hired directly by the client.\r\nWork arrangement : Hybrid, based at the client’s office in Frisco, TX, the San Francisco Bay Area, or New York City. You'll be on-site on an as-needed basis and work from your home office otherwise.\r\nCandidate location : Candidates must be based in or within commuting distance of one of these office locations. Relocation assistance is not available for this position.\r\nOur company description\r\nMission.dev is the next-gen staffing platform for software talent.\r\nWe help you find, evaluate, and manage top software talent (contractors or direct hires) faster, smarter, and more efficiently.\r\nPowered by AI. Backed by real humans.\r\nAbout the client\r\nThis global consumer cybersecurity organization provides integrated digital safety products designed to protect individuals and families online.\r\nIts operations are supported by a high-scale global eCommerce engine that manages millions of transactions, subscriptions, and renewals worldwide.\r\nThe company focuses on creating intuitive products that ensure secure digital experiences, leveraging a robust technical infrastructure to maintain system health and commercial performance across its global user base.\r\nAbout the Role\r\nThis is a hands-on technical role focused on building a comprehensive engineering intelligence platform.\r\nYou will own the development of a unified operational system that merges technical telemetry with commercial performance data to create a single source of truth for the organization.\r\nAdditionally, you will drive AI enablement across the engineering department by designing and shipping agents and productivity tools.\r\nYou will be responsible for the full lifecycle of data architecture and AI features, directly impacting how the company monitors system health and accelerates development velocity.\r\nWhat You'll Do\r\nDevelop production ETL/ELT pipelines and dimensional models to transform raw eCommerce and observability data into an analytics-ready state.\r\nConstruct summarized datasets and aggregation layers to support natural-language querying and executive-level reporting.\r\nEngineer a unified health dashboard that integrates system latency and error signals with commercial metrics like conversion and renewal rates.\r\nStandardize and surface engineering performance metrics, including delivery velocity, security posture, and incident trends.\r\nBuild and deploy AI agents for automated anomaly detection, incident triage, and intelligent root-cause analysis.\r\nDesign and implement LLM-powered productivity tools, including code search assistants and runbook copilots, using RAG and prompt engineering.\r\nUtilize modern lakehouse platforms to deliver internal tools, chatbots, and operational applications directly to stakeholders.\r\nCollaborate with cross-functional teams to identify automation opportunities and evangelize AI adoption across the engineering organization.\r\nWhat You Bring\r\n8+ years of experience in application development and distributed systems architecture.\r\n5+ years of production data engineering experience building ETL/ELT workflows and analytics platforms.\r\nExpert proficiency in Spark, PySpark, and SQL for large-scale data processing and performance tuning.\r\nStrong Python programming skills and extensive experience with dimensional modeling.\r\nProven experience shipping LLM-powered applications, including production RAG systems or AI agents.\r\nDeep expertise in modern lakehouse architectures and medallion data structures.\r\nProfessional background in eCommerce or similar transactional and operational data domains\r\nNice to Haves\r\nDeep technical experience with specific lakehouse governance and workflow tools.\r\nExperience utilizing AI coding assistants to accelerate development cycles.\r\nPrevious experience partnering with SRE, Security, and Architecture teams on operational tooling.\r\nPerformance-based bonus program and 401(k) retirement plan.\r\nComprehensive medical, dental, vision, and life insurance coverage.\r\nShort-term and long-term disability protection.\r\nPaid parental leave and 14 paid company holidays.\r\nUnlimited paid time off and flexible working hours.\r\nCommunity involvement and social programs.#J-18808-Ljbffr","datePosted":"2026-11-04T05:43:28.670Z","dateModified":"2026-11-04T05:43:28.670Z","hiringOrganization":{"@type":"Organization","name":"Missiondev","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3fb56b1b1387af48676c2a2b"},"url":"https://jobsearcher.com/jobs/3fb56b1b1387af48676c2a2b"}}