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For Companies At a Glance
- Tasks: Deploy cutting-edge AI testing agents and shape product features from start to finish.
- Company: Join a venture-backed startup led by industry veterans from Meta, Uber, and Deliveroo.
- Benefits: Competitive salary, flexible work environment, and opportunities for rapid career growth.
- Why this job: Be at the forefront of revolutionising software quality and make a real impact.
- Qualifications: Strong engineering skills, experience with AI systems, and a proactive problem-solving mindset.
- Other info: Dynamic startup culture focused on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Change Software Forever. QA is breaking under the weight of modern software. Releases are faster, systems are more complex, and test suites are brittle, slow, and increasingly ignored. Duku AI is building autonomous testing agents that run real user journeys, adapt as code changes, and surface risk before customers do. This role sits at the centre of that mission.
We are venture-backed and led by operators who have scaled Meta's testing infrastructure, launched Uber's global playbooks, and grew Deliveroo from zero to hypergrowth. We know what elite execution looks like and we are hunting for one more builder to help us rewrite the rules of software quality.
This is not a support role. It is not a solutions engineer. It is not a ticket factory. This is a builder role for someone who wants to shape product by deploying it into the real world.
What You’ll Do
- Deploy Duku AI into live customer environments and make it work under real constraints.
- Take ownership of complex product features end-to-end - from architecture and data modelling to beautiful and performant user interfaces.
- Translate messy, real-world product and infrastructure problems into durable platform capabilities.
- Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation.
- Own systems end to end: from code and models to infra, observability, and production reliability.
- Ship fast, measure impact, and iterate relentlessly.
- Feed sharp, first-principles insight back into the core roadmap and product direction.
What We’re Looking For
- Strong engineering judgement and an instinct for shipping.
- Comfort operating without a playbook, process, or safety net.
- Ability to move from prototype to production without hand-holding.
- Fluency across backend systems, modern frontend, and cloud infrastructure.
- Practical experience working with LLMs, agentic systems, or AI-driven workflows.
- High ownership mentality: you see problems, you fix them.
- Clear communication with technical and non-technical stakeholders.
Ideal Background
- There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have:
- Built and shipped complex systems in early-stage startups.
- Deployed AI or data-driven features into production environments.
- Worked close to customers solving high-stakes technical problems.
- Taken products from rough prototype to something people rely on daily.
Why This Matters
Software velocity is accelerating. QA has not kept up. Autonomous testing is inevitable. Forward Deployed Engineers at Duku sit at the edge of that shift. You are where product, customer reality, and AI systems collide. What you learn and build directly shapes the platform and the category we are creating. Join now, and you help define how software gets tested for the next decade.
Senior Product Engineer in London employer: Duku AI
Contact Detail:
Duku AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Duku AI. A friendly chat can open doors that applications alone can't. Use LinkedIn or even Twitter to connect and engage with potential colleagues.
✨Tip Number 2
Show off your skills! If you’ve built something cool, share it. Whether it's a project on GitHub or a blog post about your engineering journey, let your work speak for itself. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview like it’s a product launch! Research Duku AI’s mission and products thoroughly. Be ready to discuss how your experience aligns with their goals and how you can contribute to shaping the future of software quality.
✨Tip Number 4
Don’t just apply; engage! When you find a role that excites you, apply through our website and follow up with a personal note. Let them know why you’re passionate about the position and how you can help Duku AI change software forever.
We think you need these skills to ace Senior Product Engineer in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through. We want to see that you’re genuinely excited about the opportunity to shape product and innovate in the software testing space.
Be Specific About Your Experience: Don’t just list your previous roles; tell us about the specific projects you've worked on that relate to this position. Highlight your experience with deploying AI-driven features or building complex systems, as this will resonate with us.
Communicate Clearly: Remember, we value clear communication. Make sure your application is well-structured and easy to read. Use straightforward language to explain your technical skills and how they align with our mission at Duku AI.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Duku AI
✨Understand the Mission
Before your interview, dive deep into Duku AI's mission of revolutionising software testing. Familiarise yourself with their autonomous testing agents and how they adapt to real user journeys. This will help you articulate how your skills align with their goals.
✨Showcase Your Engineering Judgement
Be prepared to discuss your past experiences where you've demonstrated strong engineering judgement. Share specific examples of complex systems you've built or shipped, especially in early-stage startups, to highlight your ability to operate without a playbook.
✨Communicate Clearly
Since the role involves liaising with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will showcase your clear communication skills, which are crucial for this position.
✨Demonstrate Ownership Mentality
During the interview, emphasise your high ownership mentality. Share instances where you've identified problems and taken the initiative to fix them. This will resonate well with Duku AI's focus on builders who take charge of their projects.
