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Senior Machine Learning Engineer

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Fullscript

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Location:
Canada , Toronto ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We’re hiring a Senior Machine Learning Engineer to join our AI team to help strengthen and expand 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.

Job Responsibility:

  • Development and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that handle follow-up questions and reasoning over clinical context
  • Build and own backend services in Python that integrate LLM agents with Fullscript’s platform
  • Implement prompting, grounding, and safety strategies to optimize model outputs in clinical workflows
  • Implement AI feature quality testing, evaluation of LLM outputs (accuracy, hallucinations, edge cases), CI/CD pipelines, and version control for all model-related workflows
  • Collaborate with medical and product teams to deliver AI features that reflect real clinical reasoning and practitioner workflows
  • Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data solutions support clinical contexts
  • Stay current with the latest LLM research and emerging AI technologies

Requirements:

  • 3+ years of experience building and implementing LLM applications used in production, including conversational or agent-based systems
  • Experience with LLM application frameworks (LangChain, LangGraph, Hugging Face tools), including agent orchestration, tool use, or RAG pipelines
  • 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 methodologies
  • 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

Nice to have:

  • Familiarity with model evaluation and monitoring frameworks
  • Snowflake Snowpark or PySpark experience
  • Knowledge of MCP, Langfuse, or agent orchestration tools
  • Graph database experience (Neo4j)
  • Exposure to healthcare, clinical data, or decision-support systems
What we offer:
  • Flexible PTO & competitive pay
  • RRSP match & stock options
  • Customizable benefits—flexible coverage, paramedical services, and an HSA
  • Fullscript discounts—save on wellness products
  • Continuous learning—training budget + company-wide initiatives
  • Wherever You Work Well—hybrid and remote flexibility

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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