At a Glance
- Tasks: Engineer the experience for AI agents, enhancing efficiency and speed in operations.
- Company: Join a fast-moving team revolutionising AI operations for retail and CPG enterprises.
- Benefits: Unlimited AI budget, competitive pay, equity options, and a motivated team.
- Other info: Dynamic environment focused on customer problems and rapid iteration.
- Why this job: Make a real impact by optimising agent performance and driving innovation.
- Qualifications: Expertise in CI/CD, tooling, and infrastructure; passion for developer experience.
The predicted salary is between 60000 - 80000 £ per year.
Who We Are
Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.
Our Focus
We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers—but to win, we need exceptional talent. We stay humble, do the work, and let results speak.
What We Are Building
We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in. Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors. Velocity is our moat: ship fast, iterate faster, compound learning.
The Role
Think Developer Experience, but for agents — you own the experience of the agents that build and run Duvo. As an Agent Experience Engineer (AX), your job is engineering-team efficiency. You make our agents fast, correctly wired, and easy to run end-to-end. The speed of the build/run loop is the product: when agents can iterate faster, Duvo moves faster. This role owns the plumbing that everything else runs on: CI/CD, the monorepo, agent tooling, and the environments that let agents drive the real app. You'll also build agents and internal workflow apps around deployments, runs, and CI/CD — the meta-layer that helps engineers and agents stay in flow.
What We're Looking For
- CI/CD mastery. You've built and maintained fast, reliable build/run pipelines. You understand where time is lost and how to get it back.
- Tooling and infrastructure. You own the monorepo, build systems, and developer tooling. You think about ergonomics for both humans and agents.
- Self-hostable environments. You can set up cloud desktop or browser-in-browser environments so agents can drive the real web app — enabling strong end-to-end tests without brittle mocks.
- Agent wiring. You understand what it takes to connect an agent to the right resources: internal sites, tools, APIs, actions, and pipelines. You wire things correctly and maintain that wiring as the platform evolves.
- Tight feedback loops. You care deeply about making things runnable from anywhere — local, CI, staged — with fast, useful feedback.
- Building agents and workflow apps. You build internal tooling — agents and apps — around the deployment, run, and CI/CD surface. The meta-layer isn't an afterthought; it's part of what you own.
You Might Also
- Have experience with SRE, platform engineering, or DevEx.
- Have worked on systems where agents or automation (not just humans) are first‑class users of your tooling.
- Care about how data and internal systems are accessed — you'll also shape how agents access and act on internal data and entities.
- Have worked with monorepo tooling (Nx, Turborepo, Bazel, etc.).
- Have experience with cloud desktop or headless browser environments.
This Is Not for You If
- You want to build product features end-to-end — see Product Engineer or Tech Lead.
- You're not interested in going deep on tooling, infrastructure, and developer experience.
Our Tech Stack
- TypeScript‑first
- React and Fastify
- Postgres, GCP
- Latest AI primitives
How We Work
- Initiative‑driven. Organize around customer problems, not org charts.
- Customer‑obsessed. Features that don't move customer metrics get cut.
- Iterative by default. Ship small, learn fast, fix forward.
- AI‑first leverage. If a tool can do it, a person shouldn't.
- Direct feedback. Actionable feedback, given immediately.
- Autonomy with accountability. Outcomes over process.
What We Offer
- Unlimited AI budget.
- Autonomy to do your best work.
- A real AI product with real customers.
- A sharp, motivated team that values ownership and candor.
- Competitive compensation with a meaningful equity component.
Agent Experience Engineer in London employer: duvo.ai
At Duvo, we pride ourselves on being an exceptional employer that fosters a culture of innovation and autonomy. As an Agent Experience Engineer, you'll be part of a motivated team dedicated to solving real problems for our customers while enjoying competitive compensation and a meaningful equity component. Our commitment to employee growth is evident through our initiative-driven approach and the opportunity to work with cutting-edge AI technology in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Agent Experience Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at duvo.ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to duvo.ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like duvo.ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like duvo.ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agent Experience Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at duvo.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at duvo.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at duvo.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If duvo.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
