Staff, Machine Learning Engineer at Fullscript – Toronto, Kansas

We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.

This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.

• Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
• Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use
• Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
• Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
• Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
• Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
• Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
• Familiarity with model evaluation and monitoring frameworks for LLM outputs and conversational quality
• Knowledge of MCP and agent orchestration tools
• Strong proficiency in Python and SQL
• Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologiesgineering best practices, including version control, testing, and CI/CD m
• Experience designing AI systems that answer open-ended questions, support follow-up interactions, and explain their reasoning
• Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders
• Learning mindset, with a keen interest in exploring new technologies and methodologies

• Flexible PTO & competitive pay
• RRSP match (CAD) & stock options
• Customizable benefits flexible coverage, paramedical services, and an HSA.
• Flexible benefits package and additional perks
• Employee discount on Fullscript catalog of products for family & friends
• Continuous learning training budget + company-wide initiatives.
• Wherever You Work Well hybrid and remote flexibility.

• SalaryFlexible PTO & competitive payrest fuels performance.
• RRSP match & stock optionsinvest in your future.
• Customizable benefitsflexible coverage, paramedical services, and an HSA.
• Fullscript discountssave on wellness products.
• Continuous learningtraining budget + company-wide initiatives.
• Wherever You Work Wellhybrid and remote flexibility.