About Fullscript
We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
This is your invitation.
Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
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 as well as help patients improve their health.
What you'll do:
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
What you bring to the table:
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.
Bonus if you 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 can offer you:
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.
Why Fullscript
Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
What to Know Before You Apply
We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. We’re not able to respond to individual messages about open roles on email or social channels.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at
[email protected].
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
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