{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/llm-safety-tooling"},"x-facet":{"type":"skill","slug":"llm-safety-tooling","display":"Llm Safety Tooling","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8e0df7db-183"},"title":"Product Owner - Clinical AI Tools","description":"<p>Join knownwell, a dynamic company changing the way care is delivered to patients with obesity. As a Product Owner - Clinical AI Tools, you will define and own the product vision, strategy, and roadmap for Clinical AI tools. This is a hands-on role with no PM layer above you, requiring you to be hands-on in the codebase, designing and iterating on RAG pipelines, evaluating model outputs, tuning retrieval strategies, setting the product roadmap, partnering directly with clinicians, and aligning stakeholders across the organization.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>End-to-End Product Ownership: Define and own the product vision, strategy, and roadmap for Clinical AI tools with no PM layer above you.</li>\n<li>RAG Pipeline Design &amp; Iteration: Architect, implement, and continuously improve the RAG infrastructure powering clinical decision support: chunking strategies, embedding models, vector database design, retrieval and reranking approaches, and evaluation frameworks.</li>\n<li>Prompt Engineering &amp; Model Behavior: Design and iterate on prompt strategies, system instructions, and guardrails to produce reliable, clinically appropriate outputs.</li>\n<li>AWS Infrastructure: Deploy and maintain scalable, HIPAA-compliant AI infrastructure on AWS.</li>\n<li>Clinical Data &amp; Integration: Work with healthcare data sources (EHR-adjacent, structured and unstructured clinical content) and integrate AI outputs into clinical workflows in ways that are accurate, auditable, and safe.</li>\n<li>Clinical Stakeholder Partnership: Own the relationship with clinicians and clinical operations directly , there is no PM intermediary.</li>\n<li>Technical Collaboration: Partner with backend and frontend engineers to integrate AI capabilities into the broader product.</li>\n<li>Staying Current: Actively track developments in applied AI research, RAG techniques, and agentic workflow design.</li>\n<li>Stakeholder Communication &amp; Alignment: Translate technical AI concepts and tradeoffs for clinical and operational stakeholders.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5–8 years of experience in software or AI/ML engineering, with a meaningful portion in applied AI product development.</li>\n<li>Hands-on experience building and operating RAG systems in production.</li>\n<li>Strong Python skills; comfortable building pipelines, writing evaluation harnesses, and iterating on model behavior programmatically.</li>\n<li>SQL proficiency sufficient to query data independently, pull your own product metrics, and answer analytical questions without waiting on a data team.</li>\n<li>Experience deploying AI workloads on AWS; familiarity with relevant services (e.g., Bedrock, SageMaker, Lambda, RDS/Aurora, S3) and the tradeoffs between them.</li>\n<li>A product mindset , you think about user problems and outcomes, not just technical implementation, and you can write a clear spec as readily as a pull request.</li>\n<li>Experience with API design and integration, and the ability to collaborate closely with frontend and backend engineers without being a bottleneck.</li>\n<li>Healthcare or regulated-domain experience preferred; you understand why accuracy, auditability, and safe failure modes matter more in clinical contexts than in most.</li>\n<li>Familiarity with LLM safety tooling (e.g., guardrails, output validation frameworks) and an instinct for where AI systems can fail quietly.</li>\n</ul>\n<p>Additional Information:</p>\n<ul>\n<li>Pay &amp; Perks: Fully remote opportunity, medical, dental, and vision insurance, 401K retirement plan with company match, up to 20 days of PTO per year + company holidays, up to 14 weeks of parental leave (12 for non-birthing parents), annual work from home stipend for remote employees.</li>\n</ul>\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_8e0df7db-183","directApply":true,"hiringOrganization":{"@type":"Organization","name":"knownwell","sameAs":"https://www.knownwell.com/","logo":"https://logos.yubhub.co/knownwell.com.png"},"x-apply-url":"https://jobs.lever.co/knownwell/263a5523-c582-42a9-a01c-36f4b1194397","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","RAG systems","AWS","SQL","API design","LLM safety tooling"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:39:29.173Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Python, RAG systems, AWS, SQL, API design, LLM safety tooling"}]}