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Prenuvo

Whole-body MRI for early disease detection

Senior Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$145k - $165k /yr

About the Job

Requirements

  • Six or more years building and delivering product-grade software, including a track record of shipping AI-powered features to production using tool calling, retrieval-augmented generation, or agent orchestration; experienced full-stack developer.
  • Ability to evaluate models, reason explicitly about failure modes, and assess performance using a defined method.
  • Ability to establish and explain a validation bar to senior clinical, product, and engineering stakeholders.
  • Ability to scope ambiguous requests, reject unsuitable approaches, and translate product needs into validated designs.
  • Strong Python skills and practical cloud engineering and deployment experience, including APIs; AWS and Bedrock experience is ideal, and comfort working directly inside another team's codebase.
  • Hands-on experience with modern evaluation frameworks and human-in-the-loop design, including building evaluation harnesses and acceptance criteria.

Responsibilities

  • Embed with one or two teams per cycle and own each AI solution end to end, from intake brief through a shipped, monitored feature running in production.
  • Make the build, wrap, or vet decision for each initiative and set its validation requirements.
  • Build the agentic layer, including tool and function calling, retrieval-augmented generation, Model Context Protocol integrations, multi-step orchestration, and human-in-the-loop checkpoints.
  • Architect on the shared Prenuvo AI platform, including model serving, foundation-model contracts using AWS Bedrock, evaluation harnesses, monitoring, tool registry, and prompt guardrails; do not build parallel stacks.
  • Define acceptance criteria, offline and online evaluations, and escalation triggers before building.
  • Run each initiative through AI intake and risk categorization; design to the governance standard while Regulatory, Privacy, and Legal retain formal sign-off.
  • Contribute a reusable asset from each engagement, such as a validated template, registered tool, or reference architecture, to the shared layer.
  • Increase AI fluency across teams through design reviews and office hours.
  • Enable more teams to ship AI features from templates and with internal champions.

Desired Qualifications

  • Experience in regulated, clinical, or healthcare-data environments, including familiarity with FDA, Health Canada, ISO 13485, or equivalent requirements, and comfort working with protected health information.
  • Experience with AWS and Bedrock; experience with another major cloud is transferable.
  • Experience with Model Context Protocol or building tool/function interfaces consumed by other teams.
  • Consulting, solutions architecture, or other forward-deployed experience, including embedding within another team's work.

About the Company

Prenuvo

Whole-body MRI for early disease detection

Prenuvo provides whole-body MRI scans to help detect over 500 cancers and diseases early. The MRI is radiation-free, non-invasive, takes under an hour, and does not use contrast agents. Customers book online and visit Prenuvo’s scanning centers for a session, paying per scan or via a subscription plan. The scans are designed for proactive health monitoring, especially for health-conscious individuals or those with a family history of disease. The service operates in the preventive medicine and diagnostic imaging space and sells direct-to-consumer scanning services. The goal is to shift healthcare from waiting for symptoms to early detection, which can lead to less invasive treatments and lower long-term costs by catching diseases early.

Company size
201-500
Company stage
Series B
Total funding
$190M
Headquarters
Redwood City, CA
Founded
2018

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