Senior Machine Learning Engineer

7 hours, 17 minutes ago
Full-time
Senior
Software Development
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

Description

  • Design, build, and deploy LLM-powered features such as lab summaries, clinical workflow tools, and conversational agents.
  • Build Python-based backend services that integrate LLMs and machine learning models into Fullscript’s platform.
  • Develop AI systems for clinical questions, follow-up interactions, and reasoning over structured and unstructured healthcare data.
  • Implement prompting, grounding, retrieval, and safety strategies to improve AI quality and clinical relevance.
  • Build evaluation, testing, monitoring, and CI/CD workflows for accuracy, hallucination detection, edge cases, and reliability.
  • Partner with medical, product, analytics, and engineering teams to translate clinical needs into scalable AI capabilities.
  • Own AI systems from experimentation and prototyping through deployment, iteration, and ongoing improvement.
  • Contribute to architecture decisions for AI analytics, lab interpretation, and clinical decision-support workflows.
  • Track developments in LLMs, agentic AI, and applied machine learning while assessing production readiness.

Requirements

  • 7+ years of experience in machine learning engineering, applied AI engineering, backend engineering, or a related field, with production systems experience.
  • 2+ years of recent hands-on experience building LLM applications, including conversational agents, RAG, tool use, or agentic systems.
  • Strong Python backend development skills and solid SQL fundamentals.
  • Experience integrating OpenAI, Gemini, Anthropic, or similar LLMs into user-facing products.
  • Experience with frameworks such as LangChain, LangGraph, Hugging Face tools, or similar orchestration tools.
  • Familiarity with MCP, Langfuse, agent orchestration, tool-calling systems, or multi-step AI workflows.
  • Strong engineering practices across Git, testing, CI/CD, observability, evaluation, and production monitoring.
  • Experience evaluating LLM applications for quality, hallucinations, correctness, edge cases, and reliability.
  • Ability to work independently in ambiguous environments and collaborate with technical, product, medical, and non-technical stakeholders.
  • Healthcare, clinical workflow, regulated-product, or other high-trust AI experience preferred.

Benefits

  • CAD $140,000–$160,000 base salary, with additional incentives and benefits potentially available.
  • Flexible PTO and remote-first work, with Ottawa, Toronto, or Calgary preferred for this role.
  • RRSP/401(k) matching and stock options.
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts on wellness products.
  • Continuous learning and career development opportunities.

Interested in this position?

Apply directly on the company website

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