Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer developing AI-powered capabilities helping clinicians and patients. Building innovative tools with a focus on health technology at Fullscript.
Responsibilities:
- Development and deployment of LLM-powered features, including summarization tools and clinician-facing conversational agents
- Build backend services in Python that integrate ML/LLM models with Fullscript’s platform
- Implement prompt engineering techniques to optimise model outputs
- Implement AI feature quality testing, CI/CD pipelines, and version control for all model-related workflows
- Collaborate with medical and product teams to deliver AI features for practitioners and patients
- 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
- Experience with LLM application frameworks (LangChain, LangGraph, Hugging Face tools)
- Familiarity with model evaluation and monitoring frameworks
- 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.
- 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.
Benefits:
- Flexible PTO & competitive pay—rest fuels performance.
- RRSP match & stock options—invest in your future.
- 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.
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