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Salary: CAD 140,000 - 160,000 / annual
Prenuvo is transforming healthcare from reactive sick-care to proactive health care through award-winning whole-body MRI scans (fast, safe, non-invasive) combined with cutting-edge AI. The company operates a global network of clinics and is building an integrated stack of optimized hardware, software, and AI to detect health issues earlier.
You will serve as a Senior Forward Deployed AI Engineer, embedding with clinical, product, and operations teams to ship AI features that are validated, governed, and monitored by default. This is a high-impact individual contributor role focused on end-to-end AI solution delivery in a regulated healthcare environment.
Key Responsibilities:
- Embed with one or two teams per cycle and own each AI solution end-to-end, from intake brief through shipped, monitored production features
- Make build/wrap/vet decisions on every initiative and set the validation bar to keep unvetted features away from patients
- Build the agentic layer: tool and function calling, RAG, MCP integrations, multi-step orchestration, and human-in-the-loop checkpoints
- Architect solutions on the Prenuvo AI platform (shared model serving, foundation-model contracts via AWS Bedrock, eval harness, monitoring, tool registry, prompt guardrails)
- Define evaluation criteria before building: acceptance criteria, offline and online evals, and escalation triggers agreed upfront
- Run initiatives through AI intake and risk categorization so governance is inherited rather than bolted on; work with Regulatory, Privacy, and Legal for formal sign-off
- Leave reusable assets behind each engagement: validated templates, registered tools, or reference architectures contributed to the shared platform
- Raise AI fluency of surrounding teams through design reviews and office hours, enabling future teams to ship without your direct involvement
- Move the organization toward a model where more teams ship AI features independently, starting from templates and champions rather than blank pages
You will work in a mission-driven environment focused on preventing "we caught it too late again" through proactive healthcare innovation.
Requirements:
- Six or more years building and delivering product-grade software, with a proven track record of shipping AI-powered features to production (LLM and/or imaging using tool calling, RAG, or agent orchestration). Notebooks and demos are not sufficient; you are an experienced full-stack developer.
- Probabilistic-software literacy: you evaluate models, reason explicitly about failure modes, and answer "what is the performance?" with a method rather than speculation.
- The judgment and standing to hold a validation bar with senior clinical, product, and engineering stakeholders, and the ability to explain your reasoning in their language.
- Product delivery instincts: you can scope fuzzy requests, say no to wrong versions, and translate product needs into validated designs.
- Strong Python and practical cloud engineering/deployment (APIs, deployment, ideally AWS and Bedrock); comfort working directly inside another team's codebase.
- Hands-on experience with modern evaluation frameworks and human-in-the-loop design; you have built eval harnesses and acceptance criteria, not just consumed them.
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 (though any major cloud translates)
- MCP or experience building tool/function interfaces that other teams consume
- Consulting, solutions architecture, or forward-deployed experience (embedded in another team before)
Note: This role does not provide visa sponsorship. Applicants must be legally authorized to work in Canada at the time of hire and must not require employer sponsorship.
