Software Engineer II, AI Enablement Team

Swap; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Swap is the infrastructure behind modern agentic commerce. We’re seeking a software engineer to help build internal tooling and guardrails for agentic workflows, ensuring safe, productive adoption of AI across the business.

Join a team focused on delivering end-to-end features, improving CI/CD, and establishing best practices for AI usage, with a culture that values clarity and ownership while solving complex distributed systems challenges.

Qualifications

• 2+ years of professional software engineering experience.
• Track record of owning and shipping mid-sized features or projects end to end.
• Experience with building distributed data systems and measuring impact with metrics.
• Strong testing discipline and CI/CD or developer tooling improvements.
• Clear written and verbal communication skills.
• Bonus: experience with LLM/agentic tooling or internal developer platforms.

Responsibilities

• Build cost observability and usage-tracking tooling across LLM and agent workloads.
• Design and ship internal tooling and guardrails for agentic coding workflows.
• Evaluate new AI tools, models, and vendors and provide build-vs-buy recommendations.
• Write and maintain production-quality code and automated tests.
• Review peers' code for correctness and maintainability.
• Own delivery of projects end to end, from scoping to production rollout.
• Establish and socialise best practices for AI usage across the business.

Skills

2+ years experience

End-to-end delivery

Distributed data systems

Testing discipline

Clear communication

LLM tooling (bonus)

Job description

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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