Senior Machine Learning Engineer

Fullscript; Ottawa, Toronto, Calgary, Vancouver; On-site; CAD 140,000 - 160,000; Full time

Benefits offered by this job

Flexible PTO

RRSP/401k match

Premium benefits

Fullscript discounts

Remote-first

Job summary

Fullscript in Ottawa is hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. You’ll help build AI-powered lab interpretation, clinician decision support, and conversational experiences directly into the Fullscript product.

You’ll own AI systems end-to-end, from experimentation through deployment. Collaborate with medical, product, analytics, and engineering teams to turn complex clinical needs into reliable, scalable software that informs care decisions.

Qualifications

• 7+ years of experience in machine learning engineering or a similar role.
• 2+ years of hands-on experience building LLM-powered applications, including conversational agents or agentic workflows.
• Strong backend development experience in Python with solid SQL fundamentals.
• Experience integrating LLMs (OpenAI, Gemini, Anthropic) into user-facing products.

Responsibilities

• Design, build, and deploy LLM-powered product features.
• Build backend services that integrate LLMs and ML models into Fullscript’s platform, primarily using Python.
• Develop AI systems that support open-ended clinical questions and reasoning over structured and unstructured healthcare context.
• Implement prompting, grounding, retrieval, and safety strategies for output quality and clinical relevance.
• Build testing, monitoring, and CI/CD workflows for AI features.
• Partner with medical, product, analytics, and engineering teams to translate clinical needs into scalable AI capabilities.
• Own AI systems end to end from experimentation through production deployment and iteration.
• Contribute to architecture decisions for AI-powered analytics, lab interpretation, and clinical decision-support workflows.
• Stay current with LLM and applied ML ecosystems and apply what is production-ready.

Skills

Machine learning engineering

Backend engineering

Python

SQL

LLM integration

Tools

LangChain

LangGraph

Hugging Face

Git

CI/CD

Job description

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 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

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.

What you'll 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 Fullscript’s 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

• 7+ 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.
• Familiarity with MCP, Langfuse, agent orchestration patterns, tool-calling systems, or multi-step AI workflows.
• 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 building AI assistants, conversational agents, or decision-support tools in healthcare, clinical workflows, regulated products, or other high-trust environments.

What we can offer you

• Flexible PTO and competitive pay, because work-life balance matters
• RRSP/401k match 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.

Compensation Range

The salary range for this role is between $140,000 to $160,000 CAD. Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only. The range shown reflects base salary only. Additional incentives, perks, and benefits may be available as part of Fullscript’s total rewards package. Final base salary 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.

Learn More

www.fullscript.com

@fullscriptHQ on instagram

Let’s make healthcare whole