Senior Machine Learning Engineer
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Job Summary
About Fullscript
Were 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 125000 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.
The Opportunity
Were hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation clinician decision support and conversational experiences directly into the Fullscript product.
Youll help build the systems behind some of Fullscripts most important AI experiences: AI-generated lab summaries practitioner-facing conversational agents and tools that help clinicians move from data to insight more quickly. The work is technical product-minded and deeply tied to real practitioner workflows.
This is a senior individual contributor role for someone who has shipped production AI systems understands how to turn ambiguous clinical and product problems into working software and can own work from early experimentation through deployment evaluation and iteration.
Youll work closely with engineering product analytics and medical stakeholders to build AI features that are reliable useful and grounded in the way practitioners actually deliver care.
What youll do
- Design build and deploy LLM-powered product features including lab result summaries clinical workflow tools and practitioner-facing conversational agents.
- Build backend services that integrate LLMs and ML models into Fullscripts platform primarily usingPython with increasing exposure to Elixir as the platform evolves.
- Develop AI systems that can support open-ended clinical questions follow-up interactions and reasoning over structured and unstructuredhealthcare context.
- Implement prompting grounding retrieval and safety strategies that improve output quality consistency and clinical relevance.
- Build evaluation testing monitoring and CI/CD workflows for AI features including approaches for accuracy hallucination detection edge cases and reliability.
- Partner with medical product analytics and engineering teams to translate clinical needs into practical AI capabilities that can scale.
- Own AI systems end to end from experimentation and prototyping through production deployment iteration and ongoing improvement.
- Contribute to architecture and implementation decisions for AI-powered analytics lab interpretation and clinical decision-support workflows.
- Stay current with fast-moving LLM agentic AI and applied ML ecosystems while staying pragmatic about what is ready for production use.
What you bring to the table
- 5 years of experience in machine learning engineering applied AI engineering backend engineering or a similar role with a track record of shipping production systems.
- 2 years of recent hands-on experience building LLM-powered applications including conversational agents RAG workflows tool use or agentic systems.
- Strong backend development experience inPython with solid SQL fundamentals and comfort working across data-heavy product environments.
- Experience integrating LLMs such as OpenAI Gemini Anthropic or similar models into user-facing products.
- Experience with LLM application frameworks or orchestration tools such as LangChain LangGraph Hugging Face tools or similar frameworks.
- Strong engineering practices including Git testing CI/CD observability evaluation and production monitoring.
- Experience evaluating and validating LLM-based applications for quality hallucinations correctness edge cases and reliability over time.
- Ability to work independently in ambiguous problem spaces ask strong questions make sound tradeoffs and partner effectively with technical product medical and non-technical stakeholders.
Bonus if you have
- Experience with Elixir Phoenix functional programming or an interest in building with Elixir as Fullscripts AI platform evolves.
- Experience building AI assistants conversational agents or decision-support tools inhealthcare clinical workflows regulated products or other high-trust environments.
- Familiarity with MCP Langfuse agent orchestration patterns tool-calling systems or multi-step AI workflows.
What we can offer you
- Salary range:$13000 to $150000 CAD
- Flexible PTO and competitive pay because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage paramedical services and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
- Remote-first flexibility to work where you work best with Ottawa Toronto or Calgary preferred for this role.
Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects the approved range for this role and does not include stock options wellness stipends or other benefits that may be part of Fullscripts total rewards package.
Final compensation depends on experience skills and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.
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
Were grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team please apply directly through our careers page.
A quick note: Due to the high volume of applications were not able to respond to phone or email inquiries about application status. If theres a match our team will reach out directly.
A quick note: Due to the high volume of applications were not able to respond to phone or email inquiries about application status. If theres a match our team will reach out directly.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at emailprotected.
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.
Learn More
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Join thousands on Fullscript in making health last with a platform for personalized treatment planning, active wellness support, and top-quality supplements.
