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This is a staff-level, hands-on role at the intersection of Developer Productivity, Developer Experience (DevEx) and AI. You’ll accelerate a 100+ engineer organisation by identifying bottlenecks across the developer lifecycle and build and ship internal tools that measurably improve delivery speed and quality. You’ll operate with an AI-first mindset: rapidly experiment with cutting-edge AI technologies and agentic flows to see what’s possible today, map the frontier and forecast capabilities likely to become viable in the next 3-6 months. When AI isn’t the right fit, you’ll pragmatically fall back to conventional solutions. You’ll self-manage discovery, roadmap and backlog; run short, data-driven trials and productionise solutions which work. You’ll partner closely with Engineering and DevOps teams to ensure changes integrate cleanly into existing workflows.
Job Responsibility:
AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes
Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time
Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes
Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes
run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments
productionise successful approaches
Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates
Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams
measure usage and satisfaction and iterate
Requirements:
8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps)
Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js
Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality
Solid understanding of CI/CD, test strategy and code-quality tooling
able to design fast inner loops and reliable pipelines
Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases
Excellent communication and influence skills
comfortable enabling teams via docs, workshops and remote office hours
A role model for our values: Make it happen
Succeed together
Be the customer
Go beyond
Nice to have:
Experience administering/rolling out AI coding tools (Copilot, Cursor) and code search
Familiarity with structured/agentic AI workflow frameworks for multi-step tasks
Observability for developer platforms (metrics, tracing, dashboards) and performance tuning of AI workloads
Evaluation techniques for LLM output quality (human-in-the-loop, rubric scoring, golden datasets)
Experience with GitHub, Slack, Notion and Retool
Background in fintech/payments or other regulated domains
What we offer:
25 days holiday per year + your birthday off
Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development
Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
GetActive with Aviva - Health and Wellbeing discounts on services and products
Interbank currency rates on travel money and international transfers
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