Senior AI Engineer embedding with clinical, product, and operations teams. Shipping validated, monitored AI features for Prenuvo’s proactive whole-body healthcare platform.
Responsibilities
Embed with one or two teams per cycle and own each AI solution end to end, from intake brief to a shipped, monitored production feature
Decide whether to build, wrap, or vet each initiative and set the validation bar
Build the agentic layer, including tool and function calling, RAG, MCP integrations, multi-step orchestration, and human-in-the-loop checkpoints
Architect on the Prenuvo AI platform, including shared model serving, AWS Bedrock foundation-model contracts, evaluation harnesses, monitoring, tool registry, and prompt guardrails
Define acceptance criteria, offline and online evaluations, and escalation triggers before building
Run initiatives through AI intake and risk categorization processes
Design solutions to governance standards while Regulatory, Privacy, and Legal provide formal sign-off
Leave reusable assets such as validated templates, registered tools, or reference architectures
Raise AI fluency through design reviews and office hours
Enable more teams to ship AI features independently using templates and champions
Requirements
Six or more years building and delivering product-grade software
Track record of shipping AI-powered features to production, including LLM and/or imaging using tool calling, RAG, or agent orchestration
Experienced full-stack developer
Probabilistic-software literacy, including model evaluation and reasoning about failure modes
Judgment and standing to hold a validation bar with senior clinical, product, and engineering stakeholders
Product delivery instincts, including scoping fuzzy requests and translating product needs into validated designs
Strong Python skills
Practical cloud engineering and deployment experience, including APIs; AWS and Bedrock ideally
Comfort working directly inside another team's codebase
Hands-on experience with modern evaluation frameworks and human-in-the-loop design
Experience building evaluation harnesses and acceptance criteria
Legally authorized to work in Canada at the time of hire and must not require employer sponsorship for a work visa, currently or in the future
Successful candidates must undergo a background check
Nice to have: experience in regulated, clinical, or healthcare-data environments, FDA, Health Canada, ISO 13485, or equivalent, and comfort working with PHI
Nice to have: AWS and Bedrock specifically
Nice to have: MCP or experience building tool/function interfaces
Nice to have: consulting, solutions architecture, or forward-deployed experience
Benefits
Positive impact on people's lives and health
Free whole-body scans for each team member
Growth opportunities and flexible career paths
Weekly team gatherings to connect, share, and socialize
Flexible vacation policy
Comprehensive health, dental, and vision benefits, including Mental Health coverage
Eligible Canadian employees can access RRSP and TFSA retirement savings plans with immediate, optional enrollment; no company matching contributions currently offered
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