Fullscript
Staff, Machine Learning Engineer
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado1 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Canadá
Resumen del rol
Staff, Machine Learning Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
What you'll do
- Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
- Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use
- Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
- Establish and improve evaluation approaches 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, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
- Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
- Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
- Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
What you bring to the table
- 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
- A track record of owning complex technical problems end to end and shaping implementation beyond your 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, with the ability to work effectively across technical and non-technical stakeholders
Bonus if you have
- Experience defining technical direction for AI or machine learning systems across multiple projects or teams
- Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
- Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
- Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
- Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
What we can offer you
- Competitive Salaries
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
- Flexible PTO and competitive pay, because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
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