Senior Agentic Enablement Engineer

Who we are:

True Layer is Europe’s fastest-growing Pay by Bank network. We power smarter, safer and faster payments by combining real-time bank payments with financial and identity data. E‑commerce, iGaming and Financial Services businesses use our products to onboard new users, accept money and make payouts in seconds, and e across 22 countries and with 1 new user joining True Layer’s Pay by Bank network every 3 seconds, we’re in a very exciting growth stage.

This is why we’re expanding the team across our offices in London, Milan, and Dublin.

Listed in Sifted as one of the 100 fastest growing start‑ups in the UK & Ireland, and CNBC’s World Top Fintech Companies, we’re trusted by industry leaders like Ryan Air and Just Eat Takeaway for continued innovation within our payment products. To date, we’ve raised over $300 million from world‑renowned investors including Stripe, Tiger Global, Northzone, and Tencent. But this is just the beginning.

We’re looking for people who are excited about joining the Pay by Bank revolution and helping us change the way the world pays. Could this be you?

True Layer is making a deliberate, CTO‑led investment in agentic engineering. We are building a new team — Agentic Engineering Enablement — with a focused mission: pave the way for AI agents to succeed across True Layer’s engineering organisation. Every bottleneck that slows an agent down is a problem to solve. Every piece of tribal knowledge locked in a Slack thread or an engineer’s head is an opportunity to unlock.

As a Senior Agentic Enablement Engineer, you will be a core pillar of this team. Working closely with the CTO, you will own significant components of the agentic platform — from context engineering and tooling to evaluation systems and CI/CD — and build them into reliable, production‑grade infrastructure. You will also help establish engineering norms and best practices for the team and the wider organisation.

What does good look like in Year One?

Agents routinely land coordinated changes across multiple repos and services, run e2e tests, and deploy behind guardrails without a human in the loop.

What we expect from you as a Senior Agentic Enablement Engineer:

Build and maintain the agent harness

• Write, maintain, and version AGENTS.md files, system prompt libraries, and skill definitions across the codebases and workflows that matter to True Layer. Treat this as infrastructure, not documentation.
• Surface tribal knowledge from across engineering and convert it into structured, agent‑consumable artefacts: ADRs, runbooks, coding conventions, decision trees, and system maps.
• Design and operate MCP servers that give agents safe, real‑time access to True Layer’s internal systems, APIs, databases, CI outputs, incident history, and deployment state.
• Build and maintain True Layer’s internal tool library: structured, versioned, testable agent capabilities that encode how we build, test, review, and operate software.

Pave golden paths

• Build reusable, opinionated golden paths, starter templates, orchestration patterns, and reference workflows so every new agent capability is reliable and measurable by default rather than bespoke.
• Encode the safe way to do something as the easy way to do it. If the golden path is harder than building from scratch, something needs to change.
• Version and maintain these paths as products with adoption metrics and clear contracts.

Evolve CI/CD for agent‑scale workloads

• Architect and operate CI/CD pipelines (Git Hub Actions, Kubernetes, cloud runners) capable of handling the throughput of multi‑agent workflows without becoming a bottleneck.
• Reduce CI latency through remote execution, caching, parallelisation, and test impact analysis.
• Build and maintain ephemeral, sandboxed development environments that agents can provision and tear down autonomously.
• Automate recurring manual tasks: flaky test quarantine, dependency updates, PR triage, and changelog generation.

Design the eval and oversight layer

• Design and maintain an evaluation harness: regression suites, benchmark sets, and task‑specific evals for every agent capability shipped internally.
• Define and instrument agent health metrics: token…