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

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

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