Software Engineer II, AI Enablement Team

Swap · Londonmid

En corto

▸Construir herramientas para monitorear costos y uso de IA en entornos de agentes y LLM.
▸Desarrollar y mantener herramientas internas seguras para flujos de trabajo de codificación autónoma.
▸Destacar en una empresa pionera en comercio agente con enfoque en tecnología de IA.

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¿Qué piden?

✓2+ años de experiencia en ingeniería de software.
✓Habilidad para entregar proyectos completos desde el planteamiento hasta el despliegue.
✓Experiencia en sistemas de datos distribuidos y métricas de impacto.
✓Disciplina sólida en pruebas y mejora de CI/CD.
✓Capacidad de comunicar ideas con claridad por escrito y verbalmente.
✓Enfoque en solucionar problemas más que en tecnologías específicas.

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LLMagent workloadsdata systemsfeedback loopsmetricsCI/CDdeveloper toolinginternal toolingcost observabilityagentic coding

¿A quién escribirle en Swap?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Swap 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 centralises 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. Responsibilities Build cost observability and usage-tracking tooling across LLM and agent workloads, so teams can see what AI actually costs and where we can accelerate productivity and impact. Design and ship internal tooling and guardrails that let business and engineering teams adopt agentic coding workflows safely and productively. Evaluate new AI tools, models, and vendors, and turn findings into clear build-vs-buy recommendations. Write and maintain production quality code and automated tests for the platforms and tools you own. Review peers' code for correctness, readability, and maintainability. Own delivery of projects end to end, from scoping through production rollout across a mix of infrastructure, tooling, and process work. Establish and socialise best practices for AI usage across the business. What We're Looking For 2+ years of professional software engineering experience, comfortable operating independently on unfamiliar codebases. A track record of owning and shipping mid-sized features or projects end to end. Experience with building distributed data systems, feedback loops and measuring impact of work with metrics. Strong testing discipline and experience improving CI/CD or developer tooling. Someone who is focused on solving problems rather than working on particular tech stack / languages Clear written and verbal communicator. Bonus: experience with LLM/agentic tooling, AI cost observability, or internal developer platforms. A generalist with an attitude for learning and growth. Diversity & 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.

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