Software Engineer II — AI Enablement & Tooling

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

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.