TrueLayer is a UK-based open banking fintech that provides instant, bank-authenticated payments for online merchants.
<div class="content-intro"><h2>Who we are:</h2> <p>TrueLayer 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 at scale. Live across 22 countries and with 1 new user joining TrueLayer’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.</p> <p>Listed in Sifted as one of the 100 fastest growing start-ups in UK & Ireland, and CNBC’s World Top Fintech Companies, we’re trusted by industry leaders like RyanAir 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.</p> <p>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? </p></div><div> <h2><strong>Description</strong></h2> <p>TrueLayer 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 TrueLayer'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.</p> <p>As an Agentic Enablement Engineer, you will be an integral part of this new team. You will work hands-on to build and maintain the context, tooling, and infrastructure that make AI agents effective at TrueLayer, contributing meaningfully to a greenfield platform with real engineering impact from day one.<br><br>What does good look like in Year One?</p> <p>Agents routinely land coordinated changes across multiple repos and services, run e2e tests, and deploy behind guardrails without a human in the loop.</p> <p> </p> <h3><strong>What we expect from you as an Agentic Enablement Engineer:</strong></h3> <p><strong>Build and maintain agent context and tooling</strong></p> <ul> <li>Write, maintain, and version AGENTS.md files, system prompt libraries, and skill definitions for the codebases and workflows you own. Treat this as infrastructure, not documentation.</li> <li>Work with engineers across teams to surface and convert tribal knowledge into structured, agent-consumable artefacts: runbooks, coding conventions, decision trees, and system maps.</li> <li>Build and contribute to TrueLayer's internal tool library: structured, versioned, testable agent capabilities that encode how we build, test, and operate software.</li> </ul> <p><strong>Contribute to golden paths</strong></p> <ul> <li>Build and maintain reusable templates and orchestration patterns that give agent capabilities a reliable, consistent starting point.</li> <li>Identify where existing patterns are fragile or unclear and propose concrete improvements.</li> <li>Contribute to adoption tracking and feedback loops that help golden paths improve over time.</li> </ul> <p><strong>Improve CI/CD for agent workloads</strong></p> <ul> <li>Contribute to CI/CD pipelines (GitHub Actions, Kubernetes, cloud runners) to reliably handle multi-agent workflows.</li> <li>Identify and address CI latency through caching, parallelisation, and test impact analysis.</li> <li>Build and maintain ephemeral, sandboxed development environments for agent use.</li> <li>Automate recurring manual tasks: flaky test quarantine, dependency updates, and PR triage.</li> </ul> <p><strong>Support the eval and observability layer</strong></p> <ul> <li>Build and maintain evaluation suites for agent capabilities shipped internally.</li> <li>Instrument agent health metrics and surface meaningful signals to the team.</li> <li>Contribute to guardrail and oversight implementations, with support from more senior team members.</li> </ul> <p><strong>Share and grow</strong></p> <ul> <li>Share work, learnings, and setbacks openly. Document your work thoroughly so others can build on it.</li> <li>Participate in team workshops and knowledge-sharing initiatives, contributing to a culture where every engineer can engage confidently with agentic tools.</li> </ul> <p> </p> <h2><strong>About you:</strong></h2> <ul> <li>You are actively using and building with AI agents — you have moved beyond occasional AI-assisted tools and are designing workflows where agents do real, autonomous work.</li> <li>4+ years of software engineering with exposure to platform engineering, infrastructure, or developer experience.</li> <li>Hands-on experience with CI/CD pipelines and a practical understanding of how to improve their performance and reliability.</li> <li>Familiarity with building agent systems: prompt engineering, tool-use schemas, or evaluation approaches.</li> <li>Working knowledge of cloud infrastructure fundamentals: AWS or equivalent, Docker, and containerisation.</li> <li>Good written communication skills, with the ability to document complex systems clearly for a technical audience.</li> </ul> <p><strong>We would be particularly excited if you have:</strong></p> <ul> <li>Hands-on experience with MCP servers or agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen.</li> <li>Familiarity with eval or observability frameworks such as Braintrust or LangSmith.</li> <li>A background in developer experience (DevEx) and an interest in measuring engineering velocity.</li> <li>Understanding of LLM cost modelling: model selection, caching strategies, and token budget design.</li> <li>Security or compliance experience in a regulated environment.</li> <li>Open-source contributions, technical writing, or community involvement in the agentic or DevEx space.</li>