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.
We’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.
Collaborate closely with Product, Engineering, and the Agentic team to optimize AI-driven features across the full commerce journey
Design and improve recommendation and personalisation systems using behavioral and transactional data
Enhance conversational agents, multi-agent flows, and tool integrations
Iterate on virtual try-on and vision systems through prompt engineering, fine-tuning, and model chaining
Rapidly prototype new AI capabilities and evolve them into production-grade systems
Build and refine experimentation frameworks (A/B testing, evaluation pipelines, benchmarking)
Improve conversion, retention, and operational efficiency through applied ML
Identify automation opportunities and design agent-powered internal tooling
Contribute to shaping the evolving intelligence architecture of our agentic commerce platform
Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or related field
5+ years of experience in data science, machine learning, or software engineering
2+ 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 production
Experience 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 teams
Experience with modern AI tooling (LLMs, multimodal models, vector databases, orchestration frameworks)
Comfortable working across backend logic, model evaluation, prompt engineering, and product strategy
High ownership mindset with the ability to operate autonomously
Bonus:
Experience with multi-agent systems and agent orchestration
Background in e-commerce, marketplace dynamics, or fashion
Experience tying ML improvements directly to revenue and margin impact
Strong intuition for user behavior and buying psychology
Competitive base salary
Stock options in a high-growth startup
Competitive PTO with public holidays additional
Private Health
Pension
Wellness benefits
Breakfast Mondays
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.
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