Sweed
cannabis retail
SeniorML/AIEngineer
Neural analysis suggests this role is
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“Senior ML/AI Engineer at Sweed. Skills: ML/AI Engineering, productionizing AI systems, agentic systems, LLM-powered workflows, ML lifecycle management, scalable API design, ML infrastructure improvement. Build and productionize AI-powered product features across eCommerce, marketing, analytics, and customer workflows. Design and implement agentic AI systems and LLM-powered workflows”
Industry & Context.
Ability to work in ambiguous environments
What They're Looking For.
Must Have
5+ years of production engineering experience in machine learning, AI engineering, backend engineering, Python and SQL skills, Hands-on experience building and shipping production systems, Experience building APIs or backend services, Experience with data processing and analytics workflows
Nice to Have
Experience with recommendation systems, personalization, marketing automation, or eCommerce products, Familiarity with Airflow, Trino, Grafana, Prometheus, or modern data stack tooling, Experience working in product companies or fast-moving startup environments, software engineering fundamentals and system design skills
What You'll Do.
Build and productionize AI-powered product features across eCommerce
and customer workflows
Design and implement agentic AI systems and LLM-powered workflows
and deploy machine learning models into production environments
Work across the full ML lifecycle: experimentation
Design scalable APIs and inference services for AI-driven functionality
Improve and evolve our ML infrastructure
and AI-native development workflows
Rapidly prototype ideas
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
and applied machine learning
How You'll Work.
Team & Collaboration
Collaborate closely with product managers, backend engineers, analysts, and DevOps teams to bring AI systems into production; Work directly with experienced ML engineers; Collaborate cross-functionally with backend engineers, DevOps, analytics teams, and product stakeholders; Close collaboration across engineering, analytics, product, and business teams
Communication Scope
communication skills; comfort working cross-functionally across multiple teams
Process & Methodology
Independently drive technical initiatives
Full Job Description
Hi there! We’re Sweed, a product-driven company building an all-in-one cannabis retail platform. We’re looking for a Senior ML/AI Engineer to join our team remotely and help us build the next generation of AI-powered product experiences. This role is ideal for someone who enjoys working at the intersection of machine learning, software engineering, and product development - and wants to help bring modern AI systems into production at scale. ABOUT US At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics, and Inventory Management into a single seamless ecosystem - eliminating the need for multiple third-party tools. We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, helping cannabis retailers operate smarter while driving measurable business growth. WHY WE’RE DOING THIS At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives. The industry is evolving rapidly, and we’re here to drive that transformation - making cannabis retail more efficient, accessible, and customer-friendly. WHERE WE ARE NOW We’ve been on the market for 7 years and continue growing rapidly. Our platform already powers multiple AI-driven product experiences across marketing, eCommerce, analytics, and customer workflows. We’re now investing heavily into the next stage of our AI evolution - building agentic systems, intelligent automation, and scalable ML infrastructure that can support the future of the business. You’ll be joining a small but highly impactful ML team inside our dedicated AI Vertical, working closely with product, engineering, analytics, and leadership teams across the company. TEAM STRUCTURE Our total team size is over 200 people. The engineering organization is distrib
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