AI Enabler

You will be joining the payment solution OnPay as part of a team dedicated to growing our presence across Europe. Online payments

are becoming more prevalent every day and our mission is to support our growing merchants by remaining at the forefront of product

offerings and reliability. This is where you come in.

As a team, we collaborate on the entire software development lifecycle where security and compliance are fundamental to OnPay's

success and require high attention to detail to ensure that the millions of transactions we process monthly remain secure and

seamless.

We are seeking an AI Enabler to lead the adoption, evolution, and day-to-day enablement of agentic AI tooling and developer

experience (DevX) across the Payments team.

The ideal candidate is a hands-on technologist with a strong appetite for staying at the absolute forefront of AI-assisted

development – testing emerging tools, integrating them into real workflows, and turning the team into a proof point for what an

AI-native engineering organisation can deliver.

Reporting to the Software Director, the AI Enabler works day-to-day as part of the team's enabling functions, taking direction

from the Architect, Tech Lead, and Frontend Lead on priorities and integration points, while owning the toolchain and enablement

approach independently. The role is explicitly enabling – success is measured by the team's velocity and quality, not the AI

Enabler's individual ticket throughput.

While the core of this role is enablement, the right candidate can pick up line management of the Payments team (around four

people) from day one - 1:1s, performance and development conversations, hiring decisions, and owning team priorities, direction,

and overall health. This is for someone ready to step into a traditional people management role on top of a strong technical

foundation - not a purely technical leadership track.

Enable the team

Embed agentic workflows across planning, development, code review, QA, and production monitoring. Pair with engineers, run

hands-on sessions, and remove friction so the team can fully leverage AI tooling in their daily work.

Own the agentic toolchain

Evaluate, select, configure, and maintain the team's AI development stack (Devin, Claude Code, Replit, Copilot, MCP servers, agent

frameworks, etc.). Define standards, guardrails, and best practices so adoption is consistent and safe.

Stay on the forefront

Continuously test, benchmark, and adopt new agentic tools and techniques as the field evolves. Track upstream developments (model

providers, agent frameworks, IDE integrations) and downstream impact (delivery velocity, code quality, incident rates) – and

translate both into concrete actions for the team.

Redesign the workflow

Work with the Architect, Tech Lead, and Product Manager to redesign delivery around agent-assisted sprints – prototyping,

architecture documentation, AI-assisted MR review, AI-assisted test generation, and autonomous production issue triage.

Compliance and governance

Ensure agent-generated code in a PCI DSS Level 1 environment meets regulatory and security expectations. Define review gates,

audit trails, and guardrails that make agentic development safe by default.

Spread the practice

Document what works, share learnings, and act as a proof point and reference for other team.blue teams adopting AI-native ways of

working. Help shape the broader organisation's playbook.

Documentation and knowledge capture

Own the documentation of the team's AI tooling, agentic workflows, prompts, guardrails, and operating practices – both structuring

how it lives and actively maintaining it. Essential for PCI auditability and for ensuring the knowledge compounds and can be

re-used as the team and organisation grow.

Hands-on contribution

When it accelerates the team, contribute directly by building internal tooling, automations, prompts, agent configurations, MCP

integrations, or developer experience improvements that create value across the entire engineering organisation.

Measure and iterate

Define and track meaningful metrics for AI-assisted delivery (velocity, quality, review time, incident rate). Run experiments,

learn fast, and continuously optimise the toolchain and development process.

• Deep, current, practical experience with agentic AI development tools – Claude Code, Devin, Cursor, Copilot, Replit, or

comparable – used in real production workflows, not just experimentation.

• Demonstrated ability to design and implement developer experience improvements: tooling, automation, internal platforms, CI/CD

pipelines, or agent integrations that visibly raise team output.

• Strong understanding of modern software engineering practices: testing, code review, observability, CI/CD, and how AI tooling

fits into each.

• Comfortable working across the stack – backend (PHP is a plus given the OnPay codebase), frontend, and infrastructure – at

least well enough to integrate tooling end-to-end.

• Proactive, entrepreneurial mindset – comfortable operating with high autonomy in a fast-moving space where the right answer

changes month to month.

• Experience working in or alongside a regulated environment (financial services, payments, healthcare, or comparable). PCI DSS

experience is a plus, but the weight is on operating within regulatory and compliance constraints.