Machine Learning Engineer

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, saving time, simplifying decisions, and helping 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 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 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 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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