{"schemaVersion":"jobsearcher.job.v1","id":"1057d69ee522e4309fc1b0f4","url":"https://jobsearcher.com/jobs/1057d69ee522e4309fc1b0f4","canonicalUrl":"https://jobsearcher.com/jobs/1057d69ee522e4309fc1b0f4","title":"Senior Data Platform Engineer","description":"About Us:\r\nwebAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility , and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.\r\nAbout the Role\r\nWe are looking for a Senior Data Platform Engineer to design and build the connective tissue between real-world data systems and our AI platform. You will create scalable, reusable data connectors and transformation layers that make heterogeneous data sources usable for downstream inference. This role sits at the intersection of distributed systems, data infrastructure and applied AI. This role will act in terms of platform primitives, not pipelines.\r\nKey Responsibilities\r\nDesign and build robust connectors across SQL / NoSQL databases, APIs (REST / GraphQL), SaaS platforms (e.g., CRM, storage systems)\r\nInterpret and model heterogeneous source schemas\r\nTransform raw source data into formats optimized for AI inference\r\nWork closely with ML, applied AI and forward deployed teams to define feature expectations\r\nCollaborate with infrastructure teams to design and ship hosted data pipelines\r\nOptimize for latency, consistency, and edge constraints\r\nDesign resilient ingestion patterns for unreliable or rate-limited systems\r\nBuild logging, monitoring and debuggability into all integrations\r\nQualifications\r\nBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience\r\nProven experience building connectors against enterprise systems (SQL/NoSQL databases, Salesforce, S3, REST/GraphQL APIs)\r\nSystems instinct to architect a platform primitive, not a one-off integration\r\nFamiliarity with inference pipelines or ML-adjacent data preparation preferred\r\nComfortable working in a startup environment with ambiguity and evolving requirements\r\nBenefits\r\nCompetitive salary\r\nEquity options\r\n401k match\r\nComprehensive health, dental, and vision benefits package.\r\n$200/mos Health and Wellness Stipend\r\nContinuing Education support\r\nFree parking, for in-office employees\r\nFlexible time off\r\nParental, Bereavement Leave\r\nSupplemental Life Insurance\r\nwebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.\r\nJ-18808-Ljbffr","company":"Webai","rawCompany":"webai","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:47:07.331Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer","description":"About Us:\r\nwebAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility , and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.\r\nAbout the Role\r\nWe are looking for a Senior Data Platform Engineer to design and build the connective tissue between real-world data systems and our AI platform. You will create scalable, reusable data connectors and transformation layers that make heterogeneous data sources usable for downstream inference. This role sits at the intersection of distributed systems, data infrastructure and applied AI. This role will act in terms of platform primitives, not pipelines.\r\nKey Responsibilities\r\nDesign and build robust connectors across SQL / NoSQL databases, APIs (REST / GraphQL), SaaS platforms (e.g., CRM, storage systems)\r\nInterpret and model heterogeneous source schemas\r\nTransform raw source data into formats optimized for AI inference\r\nWork closely with ML, applied AI and forward deployed teams to define feature expectations\r\nCollaborate with infrastructure teams to design and ship hosted data pipelines\r\nOptimize for latency, consistency, and edge constraints\r\nDesign resilient ingestion patterns for unreliable or rate-limited systems\r\nBuild logging, monitoring and debuggability into all integrations\r\nQualifications\r\nBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience\r\nProven experience building connectors against enterprise systems (SQL/NoSQL databases, Salesforce, S3, REST/GraphQL APIs)\r\nSystems instinct to architect a platform primitive, not a one-off integration\r\nFamiliarity with inference pipelines or ML-adjacent data preparation preferred\r\nComfortable working in a startup environment with ambiguity and evolving requirements\r\nBenefits\r\nCompetitive salary\r\nEquity options\r\n401k match\r\nComprehensive health, dental, and vision benefits package.\r\n$200/mos Health and Wellness Stipend\r\nContinuing Education support\r\nFree parking, for in-office employees\r\nFlexible time off\r\nParental, Bereavement Leave\r\nSupplemental Life Insurance\r\nwebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:47:07.331Z","dateModified":"2026-06-25T00:47:07.331Z","hiringOrganization":{"@type":"Organization","name":"Webai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1057d69ee522e4309fc1b0f4"},"url":"https://jobsearcher.com/jobs/1057d69ee522e4309fc1b0f4"}}