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For Companies At a Glance
- Tasks: Design and train AI agents to revolutionise software testing and enhance user experiences.
- Company: Duku AI, a venture-backed startup transforming software quality with innovative technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for rapid personal growth.
- Why this job: Join a team redefining software quality and make a real impact in the tech world.
- Qualifications: Experience in AI/LLMs, full-stack development, and a passion for product outcomes.
- Other info: Dynamic startup culture with a focus on innovation and ownership.
The predicted salary is between 36000 - 60000 £ per year.
QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break on impact. We’re venture-backed and led by operators who’ve 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’re hunting for one more builder to help us rewrite the rules of software quality.
What You’ll Do
- Ship fast, learn faster: We deploy daily, not monthly
- Talk to users, shape the roadmap: Sit in the trenches with founders on calls that define what we build
- Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time
- Own the stack: Python, TypeScript, cloud infra, from commit to production
- Turn prototypes into production: Run real experiments on models, embeddings, and retrieval pipelines
What We’re Looking For
- Relentless drive: You execute fast, adapt faster
- Startup scar tissue: You’ve shipped product with no safety net
- Fluency with AI/LLMs: LangChain, vector stores, prompt engineering
- Full-stack firepower: Frontend, backend, infra, no silos
- Product obsession: You care more about outcomes than outputs
- Experimental instinct: You build → test → learn → repeat
Ideal Background
- There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have:
- Shipped AI features in prod
- Built something from 0 to 1
- Thrived in chaos with high ownership
Why This Matters
Software is accelerating. QA hasn’t kept up. Autonomous testing is inevitable, and we’re building it. Five years from now, every high-velocity team will rely on AI agents like ours to ship faster, safer, and smarter. Join now, and help make that future real, before someone else does.
Systems Engineer in London employer: Duku AI
Contact Detail:
Duku AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you admire. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially anything related to AI or software testing. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to systems engineering. Think about how you’d tackle real-world problems they might throw at you, especially around AI and testing.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that excite you, like Duku AI! Use our website to find roles that match your passion and skills, and tailor your approach to show why you’re the perfect fit.
We think you need these skills to ace Systems Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and LLMs shine through. We want to see that you’re not just ticking boxes but genuinely excited about the potential of autonomous testing and how it can change the software landscape.
Be Specific About Your Experience: Don’t just list your previous roles; dive into the details! Share specific projects where you’ve shipped products or features, especially in chaotic environments. We love hearing about your hands-on experience and how you've tackled challenges head-on.
Demonstrate Your Experimental Mindset: We’re all about building, testing, and learning. In your application, highlight instances where you’ve taken risks, tried new approaches, and learned from failures. This shows us you have the right mindset to thrive in our fast-paced environment.
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any updates. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Duku AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, TypeScript, and cloud infrastructure. Brush up on your knowledge of AI and LLMs, as they’re crucial for the role. Being able to discuss your experience with these technologies will show that you’re ready to hit the ground running.
✨Show Your Experimental Mindset
Prepare to talk about your past projects where you built, tested, and learned from your experiments. Highlight any instances where you’ve taken a prototype and turned it into a production-ready feature. This will demonstrate your ability to adapt and thrive in a fast-paced environment.
✨Emphasise User-Centric Development
Be ready to discuss how you’ve engaged with users to shape product roadmaps. Share examples of how user feedback has influenced your work. This shows that you understand the importance of aligning development with user needs, which is key for this role.
✨Demonstrate Relentless Drive
Prepare to share stories that showcase your relentless drive and ability to execute quickly. Talk about times when you’ve shipped products under pressure or without a safety net. This will resonate well with the company’s culture of high ownership and fast-paced execution.
