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Staff, Machine Learning Engineer

2 months ago
Canada
Full-time
Lead
Machine Learning Engineer
Software Development
CI/CD Git LLM Machine Learning Python SQL
Apply Now
Fullscript

Fullscript

Fullscript provides a platform that enables healthcare practitioners to create personalized supplement plans and recommend professional-grade supplements to their patients, enhancing patient care and treatment adherence through convenient ordering and ...

Health Care Providers & Services
251-1K
Founded 2011
$267M raised
View All Jobs 14

Description

  • Lead the design, development, and deployment of production multi-turn LLM-powered features such as summarization tools and clinician-facing conversational agents.
  • Own backend services in Python that integrate LLM agents with Fullscript’s platform for reliable production use.
  • Define technical direction for prompting, grounding, safety, and orchestration strategies across clinical AI workflows.
  • Establish and improve evaluation methods 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, analytics, and engineering teams to identify high-value AI opportunities and turn them into scalable product capabilities.
  • Work cross-functionally with medical SMEs and other stakeholders to refine requirements and ensure system design supports clinical use cases.
  • Provide technical leadership by clarifying ambiguous problems, guiding tradeoff decisions, and raising the quality bar for the team.
  • Stay current with the latest LLM research and emerging AI technologies and assess where they can be applied at Fullscript.

Requirements

  • 6+ years of experience building and implementing machine learning applications in production.
  • Meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows.
  • Track record of owning complex technical problems end to end and shaping implementation beyond 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 for working effectively across technical and non-technical stakeholders.
  • Experience defining technical direction for AI or machine learning systems across multiple projects or teams (bonus).
  • Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences (bonus).
  • Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs (bonus).
  • Experience with modern retrieval, grounding, or evaluation patterns for LLM applications (bonus).
  • Experience working closely with domain experts in complex or highly contextual problem spaces (bonus).

Benefits

  • Flexible PTO and competitive pay.
  • RRSP match and stock options.
  • Customizable benefits with flexible coverage, paramedical services, and an HSA.
  • Fullscript discounts on wellness products.
  • Continuous learning support with a training budget and company-wide initiatives.
  • Hybrid and remote work flexibility.

Interested in this position?

Apply directly on the company website

Apply Now

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