AI Product Engineer, Clinical Tools
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Job Description
AI Product Engineer developing clinician-facing AI tools for the weight-inclusive healthcare company knownwell. Moving from product vision to technical execution at the intersection of AI and clinical product development.
Responsibilities:
- Define and own the product vision, strategy, and roadmap for Clinical AI tools with no PM layer above you.
- Architect, implement, and continuously improve the RAG infrastructure powering clinical decision support.
- Design and iterate on prompt strategies, system instructions, and guardrails to produce reliable, clinically appropriate outputs.
- Deploy and maintain scalable, HIPAA-compliant AI infrastructure on AWS.
- Work with healthcare data sources and integrate AI outputs into clinical workflows.
- Own the relationship with clinicians and clinical operations directly with no PM intermediary.
- Partner with backend and frontend engineers to integrate AI capabilities into the broader product.
- Actively track developments in applied AI research and bring relevant advances to bear on the product.
- Translate technical AI concepts for clinical and operational stakeholders and write actionable documentation.
Requirements:
- 5–8 years of experience in software or AI/ML engineering, with a meaningful portion in applied AI product development
- Hands-on experience building and operating RAG systems in production — you’ve made real decisions about chunking, embeddings, retrieval design, reranking, and evals, not just prototyped them
- Strong Python skills; comfortable building pipelines, writing evaluation harnesses, and iterating on model behavior programmatically
- SQL proficiency sufficient to query data independently, pull your own product metrics, and answer analytical questions without waiting on a data team
- Experience deploying AI workloads on AWS; familiarity with relevant services (e.g., Bedrock, SageMaker, Lambda, RDS/Aurora, S3) and the tradeoffs between them
- 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
- Experience with API design and integration, and the ability to collaborate closely with frontend and backend engineers without being a bottleneck
- Healthcare or regulated-domain experience preferred; you understand why accuracy, auditability, and safe failure modes matter more in clinical contexts than in most
- Familiarity with LLM safety tooling (e.g., guardrails, output validation frameworks) and an instinct for where AI systems can fail quietly
Benefits:
- 💻 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
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