Machine Learning Engineer

Fullscript; Toronto; Hybrid; CAD 95,000 - 120,000; Full time

Job summary

A health technology company in Toronto is seeking a Senior Machine Learning Engineer to develop innovative AI features that enhance clinician services. The candidate should have 3+ years of experience in LLM applications and strong proficiency in Python and SQL. Responsibilities include building backend services that integrate AI capabilities into Fullscript’s platform. A hybrid work environment and competitive compensation package are offered, including flexible PTO and customizable benefits.

Benefits

Flexible PTO

Competitive pay

RRSP match and stock options

Continuous learning opportunities

Fullscript discounts on wellness products

Remote work flexibility

Qualifications

• 3+ years of experience building and implementing LLM applications.
• Strong proficiency in Python and SQL.
• Knowledge of CI/CD methodologies and version control.

Responsibilities

• Develop and deploy LLM-powered features for clinicians.
• Build backend services in Python integrating ML models.
• Collaborate across teams to refine requirements for AI solutions.

Skills

Experience with LLM applications

Proficiency in Python

Understanding of data engineering best practices

Ability to communicate complex concepts

Learning mindset towards new technologies

Tools

LangChain

Hugging Face tools

Snowflake Snowpark

Neo4j

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 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 as well as help patients improve their health.

What you'll do:

• Development and deployment of LLM-powered features, including summarization tools and clinician-facing conversational agents
• Build backend services in Python that integrate ML/LLM models with Fullscript’s platform
• Implement prompt engineering techniques to optimise model outputs
• Implement AI feature quality testing, CI/CD pipelines, and version control for all model-related workflows
• Collaborate with medical and product teams to deliver AI features for practitioners and patients
• 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
• Experience with LLM application frameworks (LangChain, LangGraph, Hugging Face tools)
• Familiarity with model evaluation and monitoring frameworks
• 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 methodologies.
• 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:

• Flexible 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 [e-mail].

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