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For Companies At a Glance
- Tasks: Build and scale AI-powered features that make learning fun and engaging.
- Company: Join an innovative AI startup on a mission to revolutionise education.
- Benefits: Competitive salary, equity, private health insurance, and flexible working options.
- Why this job: Make a real impact by designing AI systems used by millions of learners.
- Qualifications: 8+ years in software engineering with a focus on AI and product features.
- Other info: Be part of a fast-growing team with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We’re building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we’re already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn.
The Role
We’re hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you’ll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands-on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role could be a great fit for you.
Responsibilities
- Building AI-Powered Product Features
- You will operate as a full product engineer, owning AI features end to end:
- Design and ship AI-driven user-facing features in our TypeScript stack
- Take ownership of AI features from idea through to production and iteration
- Collaborate closely with design and product to solve real learning problems with end-to-end AI solutions
- Write clean, maintainable, production-ready code
- Contribute to architectural decisions across backend and AI systems
- Improve the user experience around AI outputs, including feedback loops and refinement flows
- You will take responsibility for AI systems that are already live and used daily. These include:
- Automated marking and feedback
- Design and iterate on prompts, including agentic prompt engineering and multi-step workflows
- Build structured model pipelines rather than simple single-call integrations
- Integrate model improvements directly into our TypeScript backend
- Create novel AI-powered systems to solve new product challenges
- Prototype and productionise new model-driven capabilities
- You will:
- Define what great looks like across different AI use cases
- Design internal evaluation frameworks
- Develop clear metrics for quality, correctness and usefulness
- Evaluate multi-step and agentic workflows for robustness
- Run structured experiments to drive systematic improvement
- Build internal tooling to support iteration and experimentation
- You will:
- Monitor model behaviour and system health
- Handle API rate limits and third-party outages
- Improve resilience, retries and fallback logic
- Design robust model-calling infrastructure
- Ensure AI features remain stable and performant under scale
What We’re Looking For
- 8+ years of software engineering experience
- Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands-on experience evaluating AI models and prompts in a production environment
- Experience building and maintaining production systems
- Experience shipping user-facing product features
- Experience designing structured or agentic prompt workflows
- Ability to define and implement evaluation metrics for AI-driven features
- Clear communicator who can collaborate with technical and non-technical stakeholders
- Strong product instincts and a focus on impact
Nice to Have
- Previous start-up or founder experience
- Experience building internal tooling for experimentation and evaluation
Highly competitive salary
You’ll own a piece of what you’re building – equity included
Hybrid and flexible working model with 4 days in our Shoreditch, London office
Private health insurance
Enhanced parental leave
The opportunity to become one of the earliest employees in one of the UK’s fastest-growing startups.
Senior Product Engineer - AI employer: Gizmo
Contact Detail:
Gizmo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Engineer - AI
✨Tip Number 1
Network like a pro! Reach out to people in the AI and product engineering space, especially those connected to Gizmo. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and TypeScript work. This gives us a tangible way to see what you can do and how you think.
✨Tip Number 3
Prepare for the interview by understanding our mission and products. Dive into how gamification and AI can enhance learning. We love candidates who are genuinely excited about what we do!
✨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 us you’re serious about joining the Gizmo team.
We think you need these skills to ace Senior Product Engineer - AI
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform learning. Share any personal projects or experiences that highlight your skills and passion for building AI-driven features.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific requirements of the Senior Product Engineer role. Highlight your experience with TypeScript and any relevant AI projects you've worked on, so we can see how you fit into our mission.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Gizmo.
How to prepare for a job interview at Gizmo
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems and production environments. Gizmo is looking for someone who can design and improve AI features, so be ready to discuss your hands-on experience with AI models and prompt engineering.
✨Showcase Your Coding Skills
Since you'll be working with a TypeScript codebase, it’s crucial to demonstrate your coding abilities. Prepare to talk about past projects where you shipped user-facing features and how you ensured the code was clean and maintainable.
✨Understand the User Impact
Gizmo wants to see how your work can make a tangible difference. Be prepared to discuss how you've previously solved real-world problems with AI solutions and how you measure success through user feedback and metrics.
✨Collaborate Like a Pro
This role involves working closely with design and product teams. Highlight your experience in collaborating with both technical and non-technical stakeholders, and share examples of how you’ve contributed to team success in previous roles.