At a Glance
- Tasks: Develop AI-driven software that transforms quality assurance and enhances user experiences.
- 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.
- Other info: Dynamic startup culture where your ideas can make a real impact.
- Why this job: Be part of a revolutionary team shaping the future of autonomous testing in software.
- Qualifications: Experience in full-stack development and a passion for AI technologies.
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
- Product obsession: You care more about outcomes than outputs
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.
Full Stack Engineer employer: Duku AI
At Duku AI, we are not just redefining software quality; we are creating a vibrant work culture that thrives on innovation and collaboration. As a Full Stack Engineer, you will be part of a dynamic team that values relentless drive and product obsession, with opportunities for rapid personal and professional growth in a fast-paced startup environment. Located in a hub of technological advancement, we offer the unique advantage of working alongside industry veterans who have successfully scaled major tech companies, ensuring that your contributions directly impact the future of autonomous testing.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack 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.
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. But don’t just stop there—be ready to discuss your thought process and how you tackle problems, just like we do at Duku AI.
✨Tip Number 4
Apply through our website! It’s the best way to get noticed. Tailor your application to highlight your experience with AI and full-stack development, and let us see how you can help change software forever.
We think you need these skills to ace Full Stack 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 Full-Stack Skills:Make sure to showcase your full-stack capabilities in your application. Whether it's Python, TypeScript, or cloud infrastructure, we want to know how you've owned the stack and what you've built from the ground up.
Emphasise Your Startup Experience:If you've thrived in a startup environment, don’t hold back! Share specific examples of how you've shipped products with no safety net and adapted quickly to challenges. We love candidates who have that startup scar tissue!
Keep It Real and Personal:Your application should reflect who you are. Use a conversational tone and be authentic. We appreciate personality and want to get to know the real you, so don’t hesitate to share your journey and what drives you.
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 full-stack skills and be ready to discuss how you've used these technologies in past projects. They’ll want to see that you can own the stack from commit to production.
✨Show Your Experimental Mindset
Prepare to talk about your approach to building, testing, and learning. Share specific examples of how you've turned prototypes into production-ready features. Highlight your ability to adapt quickly and thrive in chaotic environments—this is key for a startup like Duku AI.
✨Demonstrate Product Obsession
Be ready to discuss how you prioritise outcomes over outputs. Think about times when you’ve engaged with users to shape product roadmaps or features. Showing that you care deeply about user experience will resonate well with the team.
✨Familiarise Yourself with AI/LLMs
Since they’re looking for fluency with AI and LLMs, make sure you understand concepts like LangChain, vector stores, and prompt engineering. Prepare to discuss any relevant projects where you’ve shipped AI features, as this will showcase your fit for the role.
