Is the Machine Learning Engineer role at Fullscript remote?

The Machine Learning Engineer role at Fullscript is an on-site position located in Toronto, ON.

How do I apply for the Machine Learning Engineer position at Fullscript?

You can apply for the Machine Learning Engineer position at Fullscript directly through HireHere. Click the "Apply" button on the job listing to be taken to the application page.

Machine Learning Engineer

FullscriptToronto, ON1d ago

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 and help patients improve their health.

What you'll do:

Development and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that handle follow-up questions and reasoning over clinical context

Build and own backend services in Python that integrate LLM agents with Fullscript’s platform

Implement prompting, grounding, and safety strategies to optimize model outputs in clinical workflows

Implement AI feature quality testing, evaluation of LLM outputs (accuracy, hallucinations, edge cases), CI/CD pipelines, and version control for all model-related workflows

Collaborate with medical and product teams to deliver AI features that reflect real clinical reasoning and practitioner workflows

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 used in production, including conversational or agent-based systems

Experience with LLM application frameworks (LangChain, LangGraph, Hugging Face tools), including agent orchestration, tool use, or RAG pipelines

Familiarity with model evaluation and monitoring frameworks for LLM outputs and conversational quality

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 methodologiesgineering best practices, including version control, testing, and CI/CD m

Experience designing AI systems that answer open-ended questions, support follow-up interactions, and explain their reasoning

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:

SalaryFlexible 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 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.

Learn More

www.fullscript.com

@fullscriptHQ on instagram

Let’s make healthcare whole

Machine Learning Engineer

What you'll do:

What you bring to the table:

Bonus if you have:

What we can offer you:

Explore Data

Skills in this job

People also search for