AI Product Engineer, Clinical Tools

4 hours, 4 minutes ago
Full-time
Senior
Artificial Intelligence and Machine Learning
knownwell

knownwell

Knownwell operates two distinct entities focused on healthcare and commercial intelligence. As a healthcare provider, Knownwell offers weight-inclusive primary and obesity care in Massachusetts, New Hampshire, and Rhode Island. The company emphasizes a hybrid model of virtual and in-person visits, providing comprehensive care for obesity-related conditions. Their services include personalized primary care, specialty care for weight management and diabetes, nutrition counseling, and access to medications and tools. Knownwell is committed to delivering care without bias, ensuring a supportive environment for all patients. In addition to healthcare, Knownwell features an AI-driven commercial intelligence platform designed for professional services firms. This platform integrates data from various sources to provide insights on client portfolio health, satisfaction, and growth opportunities. It enables firms to engage proactively with clients and align internal teams for better strategic management. Knownwell's platform supports services like daily news alerts and trend detection, helping businesses make informed decisions and enhance client retention.

hospital & health care
51-200
Founded 2022
$50M raised

Description

  • Define and own the product vision, strategy, and roadmap for clinical AI tools without a PM layer.
  • Translate clinical workflow needs into prioritized plans and ship features from concept through delivery.
  • Design, implement, and continuously improve the RAG pipeline for clinical decision support.
  • Build and iterate on prompt strategies, system instructions, guardrails, and evaluation frameworks.
  • Deploy and maintain HIPAA-compliant AI infrastructure on AWS.
  • Work with healthcare data sources and integrate AI outputs into clinical workflows safely and accurately.
  • Own direct relationships with clinicians and clinical operations stakeholders to understand workflow needs and constraints.
  • Collaborate with backend and frontend engineers on AI integration and broader system architecture.
  • Track advances in applied AI research, RAG techniques, and agentic workflow design and apply relevant improvements.
  • Communicate technical tradeoffs clearly to clinical, operational, and leadership stakeholders and document requirements independently.

Requirements

  • 5–8 years of experience in software or AI/ML engineering, with meaningful experience in applied AI product development.
  • Hands-on experience building and operating RAG systems in production.
  • Strong Python skills for building pipelines, evaluation harnesses, and programmatic model iteration.
  • SQL proficiency to query data independently and pull product metrics without relying on a data team.
  • Experience deploying AI workloads on AWS, with familiarity with Bedrock, SageMaker, Lambda, RDS/Aurora, and S3.
  • A product mindset with the ability to think in terms of user problems, outcomes, and clear specifications.
  • Experience with API design and integration, and the ability to work closely with frontend and backend engineers.
  • Healthcare or other regulated-domain experience preferred, with an understanding of accuracy, auditability, and safe failure modes.
  • Familiarity with LLM safety tooling such as guardrails and output validation frameworks.
  • Ability to operate autonomously across product and engineering responsibilities and communicate effectively with stakeholders.

Benefits

  • Base salary of $210,000–$230,000 per year, commensurate with experience.
  • Equity in the form of stock options.
  • Fully remote work from anywhere in the United States.
  • Medical, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Up to 20 days of PTO per year plus company holidays.
  • Up to 14 weeks of parental leave, including 12 weeks for non-birthing parents.
  • Annual work-from-home stipend for remote employees.

Interested in this position?

Apply directly on the company website

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