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- Tasks: Build AI-driven products from scratch and improve business operations.
- Company: Join Hyphen, a fast-paced portfolio of global education companies.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid growth.
- Other info: Work across multiple sectors and tackle diverse challenges.
- Why this job: Make a real impact by shaping innovative AI solutions in a collaborative setting.
- Qualifications: Strong full-stack development skills and experience with AI/ML frameworks.
The predicted salary is between 60000 - 80000 £ per year.
We're building Hyphen's AI unit from scratch. This is the second hire. The focus is on building products and platforms that improve how our current businesses operate and building new businesses. This isn’t a role where you’re handed tickets. You’ll be in the conversation, figuring out what matters, and shipping solutions that get used. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products.
WHAT YOU'LL DO
- Work directly with stakeholders to understand problems, shape what should be built, and translate that into working solutions.
- Translate those conversations into working products — features, tools, automations, new businesses — using AI as the primary build tool.
- Full-Stack Ownership: end-to-end product ownership, including designing interfaces, managing data, and optimising backend performance.
- Work across multiple companies at once: different sectors, different problems, different contexts.
- Build and ship AI-powered solutions that improve how the business operates.
- Own what you build, iterate, improve, and maintain solutions based on real usage and feedback.
- Move fast, iterate, and continuously improve what’s in production.
WHO WE'RE LOOKING FOR
- Technical Proficiency: Strong experience in building full-stack applications.
- AI/ML Experience: Proficiency with machine learning frameworks (e.g., PyTorch, TensorFlow) and LLM-powered workflows.
- Product Mindset: Ability to translate business problems into technical, user-friendly solutions.
- Product Development: Experience with 0-->1 product creation or early-stage startups.
- Comfortable with ambiguity — you fill gaps sensibly and flag issues early.
- Proactive communicator — you surface blockers, not surprises.
- You've built something end-to-end that you can show us. Not describe. Show.
- Comfortable working directly with stakeholders and shaping solutions from loosely defined problems.
AI Product Engineer employer: Hyphen Education Group
Contact Detail:
Hyphen Education Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer
✨Tip Number 1
Get your hands dirty with real projects! Show us what you've built, not just what you can talk about. If you've got a portfolio or GitHub, make sure it's up to date and highlights your best work.
✨Tip Number 2
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. The more connections you make, the better your chances of landing that dream job at Hyphen.
✨Tip Number 3
Be ready to chat about your thought process. When you're in interviews, we want to hear how you tackle problems and come up with solutions. Think out loud and show us your product mindset!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our fast-paced team.
We think you need these skills to ace AI Product Engineer
Some tips for your application 🫡
Show Us Your Work: When you apply, don’t just tell us about your projects—show us! Include links to your portfolio or GitHub where we can see the full-stack applications you've built. We want to see your skills in action!
Tailor Your Application: Make sure your application speaks directly to the role. Highlight your experience with AI/ML frameworks and product development. We’re looking for someone who can bridge the gap between tech and real-world solutions, so let that shine through!
Be Proactive: In your written application, demonstrate your proactive communication style. Share examples of how you’ve tackled ambiguity in past projects and how you’ve flagged issues early. We love candidates who can surface blockers before they become surprises!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy!
How to prepare for a job interview at Hyphen Education Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your experience with full-stack applications and AI/ML frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous problems in the past. Think of examples where you’ve taken a loosely defined issue and turned it into a successful product. This is your chance to demonstrate your product mindset and ability to bridge technical solutions with real-world needs.
✨Communicate Proactively
During the interview, practice being a proactive communicator. Share how you’ve surfaced blockers in previous roles and how you keep stakeholders informed. This will highlight your ability to work collaboratively and ensure that everyone is on the same page throughout the development process.
✨Bring Your Work to the Table
Don’t just talk about your projects—bring them! If you have a portfolio or can showcase an end-to-end project you’ve built, do it. This not only demonstrates your technical skills but also your ability to take ownership and iterate based on feedback, which is crucial for this role.