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- Tasks: Develop autonomous AI agents that revolutionise software testing and enhance engineering velocity.
- 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 part of a groundbreaking team reshaping the future of software quality with AI.
- Qualifications: Experience in AI/LLMs, full-stack development, and a passion for innovative product outcomes.
- Other info: Dynamic startup culture where your ideas can directly impact the future of technology.
The predicted salary is between 36000 - 60000 £ per year.
Change Software Forever. 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
- 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 employer: Duku AI
Contact Detail:
Duku AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Engineer
✨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 full-stack development. 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 relevant to systems engineering. Think about how you’d tackle real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate builders like you. Your application will stand out when it comes directly to us!
We think you need these skills to ace Systems Engineer
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 familiar with the tech, but that you’re genuinely excited about how it can change the game in software quality.
Highlight Your Startup Experience: Make sure to mention any experience you've had in a startup environment. We love candidates who have thrived in chaos and taken ownership of their projects. Share specific examples of how you’ve shipped products without a safety net.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity over fluff. Use bullet points if necessary to make your achievements stand out and ensure we can quickly see your relevant skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensures you get all the updates directly from us. Plus, we love seeing applications come in through our own platform!
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. Be ready to discuss how you've used these technologies in past projects.
✨Show Your Experimental Mindset
Prepare examples that showcase your ability to build, test, and learn quickly. Talk about times when you’ve taken risks in a chaotic environment and how those experiences shaped your approach to problem-solving.
✨Understand the User Journey
Familiarise yourself with the concept of user journeys and be prepared to discuss how you would engage with users to shape product roadmaps. Highlight any experience you have in gathering user feedback and translating it into actionable insights.
✨Demonstrate Relentless Drive
Convey your passion for fast execution and adaptability. Share stories that illustrate your relentless drive to ship products and how you’ve thrived under pressure. This will resonate well with the company’s fast-paced culture.
