AI Engineer building generative and agentic AI solutions for Trillium Health Partners’ hospital workflows. Connecting intelligent agents to clinical systems and scaling responsible healthcare automation.
About the role
- Senior ML/AI Engineer developing AI-driven solutions for cannabis retail platform. Collaborating with cross-functional teams and driving AI initiatives within remote-first organization.
Responsibilities
- Build and productionize AI-powered product features across eCommerce, marketing, analytics, and customer workflows
- Design and implement agentic AI systems and LLM-powered workflows
- Develop, train, evaluate, and deploy machine learning models into production environments
- Work across the full ML lifecycle: experimentation, feature engineering, model evaluation, deployment, monitoring, and iteration
- Collaborate closely with product managers, backend engineers, analysts, and DevOps teams to bring AI systems into production
- Design scalable APIs and inference services for AI-driven functionality
- Improve and evolve our ML infrastructure, tooling, and AI-native development workflows
- Rapidly prototype ideas, validate hypotheses, and iterate based on real-world feedback and business impact
- Contribute to experimentation frameworks, A/B testing approaches, and production monitoring practices
- Stay current with the latest developments in LLMs, agentic systems, generative AI, and applied machine learning
Requirements
- 5+ years of production engineering experience in machine learning, AI engineering, backend engineering. We are open to strong backend engineers who would like to switch to AI Engineering
- Strong Python and SQL skills
- Experience with LLMs, RAG systems, AI agents, or orchestration frameworks such as LangGraph or PydanticAI
- Hands-on experience building and shipping production systems
- Experience with modern AI/LLM ecosystems, agentic frameworks, or strong interest in transitioning into this space
- Understanding of ML/AI system design, experimentation, and production deployment practices
- Experience building APIs or backend services
- Experience with data processing and analytics workflows
- Familiarity with MLOps concepts, monitoring, CI/CD, logging, and production reliability
- Ability to work in ambiguous environments and independently drive technical initiatives
- Strong communication skills and comfort working cross-functionally across multiple teams
Benefits
- 100% remote — we’re a remote-first company
- Flexible working hours
- 20 paid vacation days per year
- 12 holidays per year
- 3 sick leave days
- Medical insurance after probation
- Equipment reimbursement (laptops, monitors, etc.)
- Opportunity to work on cutting-edge AI initiatives with high ownership and real product impact
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