Senior Remote Machine Learning Engineer

We’re an industry-leading health technology company on a mission to help people get better. 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.

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 & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and conversational experiences directly into the Fullscript product.
You’ll help build the systems behind some of Fullscript’s 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.
You’ll 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.
Build backend services that integrate LLMs and ML models into Fullscript’s platform, primarily using Python, 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 unstructured healthcare 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.
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 in Python, with solid SQL fundamentals and comfort working across data-heavy product environments.
• 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.

Experience with Elixir, Phoenix, functional programming, or an interest in building with Elixir as Fullscript’s AI platform evolves.
Experience building AI assistants, conversational agents, or decision-support tools in healthcare, clinical workflows, regulated products, or other high-trust environments.
Familiarity with MCP, Langfuse, agent orchestration patterns, tool-calling systems, or multi-step AI workflows.

130,00 to $150,000 CAD
Flexible PTO and competitive pay, because work-life balance matters
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. We review pay regularly to stay aligned with market data and internal equity. Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.