Job Overview
Location
Remote International
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Build and productionize AI-powered product features across eCommerce, marketing, analytics, and customer workflows using machine learning and generative AI systems
- • Design and implement agentic AI systems and LLM-powered workflows to automate customer and operational tasks
- • Develop, train, evaluate, and deploy machine learning models into production environments with end-to-end ownership
- • Work across the full ML lifecycle including experimentation, feature engineering, model evaluation, deployment, monitoring, and iterative improvement
- • Collaborate directly with product managers, backend engineers, analytics teams, and DevOps to integrate AI systems into existing product platforms
- • Design scalable APIs and inference services to support AI-driven functionality across the enterprise cannabis retail platform
- • Improve and evolve the company’s ML infrastructure, tooling, and AI-native development workflows to enable faster iteration and reliability
- • Rapidly prototype new AI ideas, validate hypotheses using real-world data, and iterate based on business impact and user feedback
- • Contribute to the design and implementation of experimentation frameworks, A/B testing methodologies, and production monitoring systems for AI features
- • Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and applied machine learning to inform technical direction
- • Work within a cross-functional engineering organization structured into product teams, influencing AI strategy across multiple domains including eCommerce and marketing
- • Drive technical initiatives independently in ambiguous environments while maintaining alignment with product goals and engineering standards
- • Ensure production reliability through MLOps practices including CI/CD, logging, monitoring, and model performance tracking
- • Engage in technical decision-making that shapes the future of AI integration across the entire platform, with high ownership over system architecture
- • Communicate complex technical concepts clearly to non-technical stakeholders including product managers and business leaders
- • Participate in cross-team collaboration with backend engineers, data analysts, and DevOps to align AI initiatives with platform-wide infrastructure and data pipelines
- • Contribute to the evolution of the company’s AI Vertical, helping establish best practices for model development, deployment, and governance
🎯 Requirements
- • 5+ years of production engineering experience in machine learning, AI engineering, or backend engineering
- • Strong Python and SQL skills
- • Hands-on experience building and shipping production ML/AI systems
- • Experience with LLMs, RAG systems, AI agents, or orchestration frameworks such as LangGraph or PydanticAI
- • Understanding of ML/AI system design, experimentation, and production deployment practices
- • Experience building APIs or backend services and familiarity with MLOps, CI/CD, and monitoring tools
🏖️ Benefits
- • Salary in USD (B2B contract with a US company)
- • 100% remote — remote-first company with flexible working hours
- • 20 paid vacation days per year
- • 12 holidays per year
- • 3 sick leave days
- • Medical insurance after probation
- • Equipment reimbursement for laptops, monitors, and other work essentials
- • Opportunity to work on cutting-edge AI initiatives with high ownership and direct product impact
Skills & Technologies
About Sweed AB
Swedish fintech Sweed AB delivers cloud-based point-of-sale and business-management software for restaurants, cafés, and fast-food chains across the Nordics. The platform unifies order taking, payments, inventory, staff scheduling, accounting, and customer loyalty in one SaaS suite that runs on iOS, Android and web. Real-time dashboards and AI-driven analytics help owners cut costs, speed service and increase revenue, while open APIs connect seamlessly to accounting, delivery and marketing services. Founded in Stockholm in 2016, Sweed targets small to mid-sized hospitality businesses seeking an integrated, mobile-first alternative to legacy POS systems.
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