Senior ML/AI Engineer

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🕒 May 19

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Sweed POS

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛒 Retail

🛍️ eCommerce

🤝 B2B

Retail • eCommerce • B2B

Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.

📋 Description

• 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