Senior Forward Deployed AI Engineer
Prenuvo · Remote, USA
About this role
**About Prenuvo** At Prenuvo, we’re on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). We combine optimized hardware, software, and increasingly AI—along with a patient-centric experience across domestic and global clinics—to help lead the change against “we caught it too late again.” **Role: Senior Forward Deployed AI Engineer** We’re looking for a Senior Forward Deployed AI Engineer to embed with our clinical, product, and operations teams and ship AI features that are validated, governed, and monitored by default. > **Visa note:** This role does **not** provide visa sponsorship. Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa (current or future). --- ## What You’ll Do - **Embed with one or two teams per cycle** and own each AI solution end-to-end—from intake brief to a shipped, monitored feature running in production. - **Make the build/wrap/vet call** on every initiative and set the validation bar it must clear—keeping un-vetted features away from patients. - **Build the agentic layer:** tool/function calling, RAG, MCP integrations, multi-step orchestration, and human-in-the-loop checkpoints. - **Architect on the Prenuvo AI platform:** shared model serving, foundation-model contracts (AWS Bedrock), eval harness, monitoring, tool registry, and prompt guardrails (no parallel stacks). - **Define evaluation before you build:** acceptance criteria, offline + online evals, and escalation triggers agreed up front. - **Run initiatives through AI intake and risk categorization** so governance is inherited rather than bolted on (Regulatory, Privacy, and Legal sign-off). - **Leave reusable assets behind** each engagement (validated templates, registered tools, or reference architectures contributed back to the shared layer). - **Raise AI fluency** of the teams around you via design reviews and office hours—so the next team can ship without you. - **Scale AI delivery** so more teams ship AI features than our AI department could build alone—starting from templates and champions. --- ## What You’ll Bring - **6+ years** building and delivering product-grade software, including shipping AI-powered features to production (LLMs and/or imaging) using tool calling, RAG, or agent orchestration. Notebooks/demos aren’t the bar—you’re an experienced full-stack developer. - **Probabilistic-software literacy:** you evaluate models, reason about failure modes, and can answer “what is the performance?” with a method. - **Judgment to hold a validation bar** with senior clinical, product, and engineering stakeholders—and explain reasoning in their language. - **Product delivery instincts:** you can scope fuzzy requests, say no to the wrong version, and translate product needs into validated designs. - **Strong Python + practical cloud engineering/deployment** (APIs, deployment; ideally AWS and Bedrock) and comfort working inside another team’s codebase. - **Hands-on with modern evaluation frameworks** and human-in-the-loop design—you’ve built eval harnesses and acceptance criteria. --- ## Nice to Have - Experience in **regulated, clinical, or healthcare-data environments** (FDA, Health Canada, ISO 13485, or equivalent) and comfort working with **PHI**. - **AWS and Bedrock** specifically (or equivale
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