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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_09246ba7-716"},"title":"Founding AI Systems Engineer","description":"<p>We are hiring founding AI Systems Engineers to help build the machinery that connects AI capability development to production reality. This role is for engineers who like consequential junctions: between training outputs and deployable artifacts, between runtime systems and safe release, between quality claims and evidence, and between ambitious AI plans and systems that can actually carry them.</p>\n<p>This is not a research role, and it is not a generic support role. It is an implementation-heavy, building-focused engineering role on a small team responsible for making in-house AI capabilities easier to package, evaluate, deploy, promote, operate, and improve. AI Platform Engineering exists to shorten the path from emerging AI capability to reliable production impact.</p>\n<p>We build the shared systems, standards, and delivery pathways that let in-house models and AI capability packages move from candidate state into observable, rollback-safe production operation. Our work sits at the junction between model development, runtime systems, evaluation, and delivery. We enable the broader AI Platform division by making it faster and safer to ship new capabilities, improve existing ones, and learn from production behavior.</p>\n<p>As a founding team member, you will help design, build, and improve the systems that connect AI capability development to production reality. Depending on your strengths, that may include work such as:</p>\n<ul>\n<li>Improving how model and capability artifacts are packaged, versioned, promoted, and rolled back.</li>\n<li>Building or improving deployment and release pathways for AI-backed services.</li>\n<li>Enabling shadow-serving, staged rollout, and candidate-versus-incumbent comparison.</li>\n<li>Strengthening runtime behavior, observability, and debugging for model-backed systems.</li>\n<li>Building or automating evaluation systems that make release decisions evidence-based.</li>\n<li>Reducing bespoke coordination and strengthening the shared rails used by multiple AI teams.</li>\n</ul>\n<p>The exact balance will depend on your background and the team’s evolving needs. What will not vary is the mission: your work should make the broader AI Platform organization faster, safer, and more effective at turning in-house AI capability into production reality.</p>\n<p>To succeed in this role, you will need to bring:</p>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science, Engineering, or equivalent related experience.</li>\n<li>2 to 6 years of professional software engineering experience, with a proven track record of shipping production infrastructure or real systems that matter.</li>\n<li>Experience in writing solid, maintainable production code and applying strong software engineering fundamentals to solve complex debugging challenges.</li>\n<li>Experience in operating within ambiguous, cross-functional environments where requirements evolve and interfaces are real.</li>\n<li>Expertise in building for reproducibility, operability, and rollout safety, focusing on the quality of change rather than just local implementation.</li>\n</ul>\n<p>Experience with cloud infrastructure, containerized environments, managed ML platforms, or service orchestration systems is a plus.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_09246ba7-716","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8512126002","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$132,000-$156,750 CAD","x-skills-required":["Bachelor's degree in Computer Science, Engineering, or equivalent related experience","2 to 6 years of professional software engineering experience","Experience in writing solid, maintainable production code","Experience in operating within ambiguous, cross-functional environments","Expertise in building for reproducibility, operability, and rollout safety"],"x-skills-preferred":["Cloud infrastructure","Containerized environments","Managed ML platforms","Service orchestration systems"],"datePosted":"2026-04-24T15:18:04.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kitchener, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor's degree in Computer Science, Engineering, or equivalent related experience, 2 to 6 years of professional software engineering experience, Experience in writing solid, maintainable production code, Experience in operating within ambiguous, cross-functional environments, Expertise in building for reproducibility, operability, and rollout safety, Cloud infrastructure, Containerized environments, Managed ML platforms, Service orchestration systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":132000,"maxValue":156750,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_325895d8-540"},"title":"Applied AI Engineer, Life Sciences (Beneficial Deployments)","description":"<p><strong>About the Role:</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&amp;D through translation by an order of magnitude.</p>\n<p>You&#39;ll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn&#39;t consulting from the outside — you&#39;ll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude&#39;s usefulness across the broader life sciences community.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.</li>\n<li>Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.</li>\n<li>Identify what&#39;s actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.</li>\n<li>Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have:</strong></p>\n<ul>\n<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.</li>\n<li>Deep research experience in life sciences, biomedical research, or scientific computing. 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However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. 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