Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience.Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence.At Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works.About the RoleWe’re not hiring a traditional data scientist.We’re looking for:Half human intuition.Half machine leverage.Running parallel code paths.Deploying agents to explore solution spaces while you sleep.Swap is building a fully agentic, end-to-end AI Storefront, from search and personalization to outfit creation, virtual try-on, checkout, payments, returns, shipping, refunds, and support.You’ll join our Agentic squad, working alongside five AI and data science professionals to refine, scale, and evolve the intelligence layer behind our agentic storefront. This is a senior-level, high-agency generalist role for someone who can move fluidly across models, agents, experimentation, and product decisions — and ship fast in a startup environment.ResponsibilitiesCollaborate closely with Product, Engineering, and the Agentic team to optimize AI-driven features across the full commerce journeyDesign and improve recommendation and personalisation systems using behavioral and transactional dataEnhance conversational agents, multi-agent flows, and tool integrationsIterate on virtual try-on and vision systems through prompt engineering, fine-tuning, and model chainingRapidly prototype new AI capabilities and evolve them into production-grade systemsBuild and refine experimentation frameworks (A/B testing, evaluation pipelines, benchmarking)Improve conversion, retention, and operational efficiency through applied MLIdentify automation opportunities and design agent-powered internal toolingContribute to shaping the evolving intelligence architecture of our agentic commerce platformSkills & QualificationsBachelor’s degree or higher in Computer Science, Data Science, Engineering, or related field5+ years of experience in data science, machine learning, or software engineering2+ years of direct experience building AI-powered systems (LLMs, recommendation engines, conversational AI, generative models, ranking systems, or vision models)Strong Python skills (required) with experience deploying AI systems into productionExperience working in or alongside TypeScript/JavaScript environments (strong plus but not essential)Proven ability to rapidly prototype and iterate in startup or high-velocity product teamsExperience with modern AI tooling (LLMs, multimodal models, vector databases, orchestration frameworks)Comfortable working across backend logic, model evaluation, prompt engineering, and product strategyHigh ownership mindset with the ability to operate autonomouslyBonus:Experience with multi-agent systems and agent orchestrationBackground in e-commerce, marketplace dynamics, or fashionExperience tying ML improvements directly to revenue and margin impactStrong intuition for user behavior and buying psychologyBenefits:Competitive base salaryStock options in a high-growth startupCompetitive PTO with public holidays additionalPrivate HealthPensionWellness benefitsBreakfast MondaysDiversity & Equal Opportunities:We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.