Senior Forward Deployed AI Engineer

Posted 3 days ago

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About the role

  • 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

Job title

Job type

Full Time

Experience level

Senior

Salary

CA$140,000 - CA$160,000 per year

Degree requirement

No Education Requirement

Tech skills

AWSCloudPython

Location requirements

RemoteCanada

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