AI Enablement Engineer II — Build Observable AI Tooling

Swap; Greater London; On-site; GBP 65,000 - 95,000; Full time

Job summary

Swap is building the AI-native infrastructure for modern agentic commerce. We connect backend operations with forward-looking storefront experiences, centralising global processes and real-time decision making.

We seek a software engineer to own end-to-end features, improve CI/CD, and craft internal tooling for safe, productive AI workflows. You will focus on measuring impact with metrics, shipping mid-sized features, and collaborating across teams to accelerate impact while maintaining quality

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, feedback loops and measuring impact of work with metrics.
• Strong testing discipline and experience improving CI/CD or developer tooling.
• Generalist with an attitude for learning and growth.

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 for platforms and tools you own.
• Review peers' code for correctness, readability, 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

Distributed data systems

CI/CD tooling

Testing discipline

Problem solving

Communication

LLM tooling

Job description

Swap is building the AI-native infrastructure for modern agentic commerce. We connect backend operations with forward-looking storefront experiences, centralising global processes and real-time decision making.

We seek a software engineer to own end-to-end features, improve CI/CD, and craft internal tooling for safe, productive AI workflows. You will focus on measuring impact with metrics, shipping mid-sized features, and collaborating across teams to accelerate impact while maintaining quality