At a Glance
- Tasks: Lead engineering execution and transform ideas into production-ready software.
- Company: Duku AI, a venture-backed startup revolutionising software quality with autonomous testing.
- Benefits: Competitive salary, flexible work environment, and opportunities for rapid career growth.
- Other info: Dynamic startup culture where your contributions directly impact our success.
- Why this job: Join us to shape the future of software testing with cutting-edge AI technology.
- Qualifications: Experience in AI/LLMs, product development, and a passion for fast-paced environments.
The predicted salary is between 72000 - 88000 £ 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
- You will own engineering execution end-to-end.
- You will take ideas from zero to production.
- You will help define the technical DNA of the company. 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, Type Script, cloud infra, from commit to production
- Turn prototypes into production : Run real experiments on models, embeddings, and retrieval pipelines
This is a hands-on leadership role for someone who thrives without guardrails.
- 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 : Lang Chain, 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.
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Software Engineering Manager employer: Duku AI
Duku AI is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and strategic thinking are highly valued. Located in a vibrant tech hub, employees benefit from continuous growth opportunities, collaborative projects with engineering leaders, and the chance to shape the future of AI-driven software QA. With a focus on meaningful impact and professional development, Duku AI offers a rewarding environment for those looking to make a difference in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Manager
✨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 Duku 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 Duku 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 Duku 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 Duku 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 Software Engineering Manager
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 Duku 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 Duku 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 Duku 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 Duku 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.
