- Full Time
- Ottawa, ON (Remote)
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.
Join us and shape the future of care.
We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.
This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.
- Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
- Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use
- Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
- Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
- Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
- Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
- Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
- Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
- Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
- 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
- A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
- Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production
- Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks
- Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability
- Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems
- Strong proficiency in Python and SQL
- Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems
- Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders
- Experience defining technical direction for AI or machine learning systems across multiple projects or teams
- Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
- Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
- Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
- Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
- Competitive Salaries
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
- 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
Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript’s 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.
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.
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s 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 accommodations@fullscript.com.
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.
To apply for this job please visit jobs.lever.co.
Terms used in this posting
- 401k
- A retirement savings plan offered by U.S. employers, often with the company matching a portion of what you contribute.
- PTO
- Paid Time Off — vacation, personal, or sick days you can take while still being paid.
- equity
- Ownership stake in the company, usually in the form of stock options or RSUs, offered in addition to salary.
- remote-first
- The company is organized around remote work as the default, rather than treating it as an occasional exception to in-office work.
Explore Fullscript online
Working in Ottawa, Ottawa region
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Ottawa is the capital city of Canada. It is located in the southeastern portion of the province of Ontario, at the confluence of the Ottawa River and the Rideau River. Ottawa borders Gatineau, Quebec, and forms the core of the Ottawa–Gatineau census metropolitan area (CMA) and the National Capital Region (NCR). As of 2021, Ottawa had a city population of 1,017,449 and a metropolitan population of 1,488,307, making it the fourth-largest city and fourth-largest metropolitan area in Canada.
Bas-Sassandra District is one of fourteen administrative districts of Ivory Coast. The district is located in the southwest part of the country. The capital of the district is San-Pédro.
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- Elevation 172m (564 ft)
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Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
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