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For Companies At a Glance
- Tasks: Build and scale AI-powered features that make learning fun and engaging.
- Company: Join Gizmo, a fast-growing AI startup revolutionising education.
- Benefits: Competitive salary, equity, hybrid work, private health insurance, and enhanced parental leave.
- Why this job: Make a real impact on learning for millions while working with cutting-edge AI technology.
- Qualifications: 8+ years in software engineering, strong TypeScript skills, and experience with production AI systems.
- Other info: Be part of a dynamic team in one of the UK's fastest-growing startups.
The predicted salary is between 43200 - 72000 £ per year.
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We are 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 are 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 are 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 will 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 offers genuine impact.
What You Will Be Doing
- 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
- Owning and Improving Production AI Systems
- You will take responsibility for AI systems that are already live and used daily. These include:
- Study material content generation
- Quiz question generation
- Automated marking and feedback
- Structured content ingestion pipelines
- You will:
- Optimise production AI pipelines
- 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
Qualifications
- 8+ years of software engineering experience
- Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript 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
Benefits
- Highly competitive salary
- You will own a piece of what you are 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
Staff Product Engineer (AI Focus) in London employer: gizmo.ai
Contact Detail:
gizmo.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Product Engineer (AI Focus) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Gizmo or similar startups. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your TypeScript projects, especially any AI-related work. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for the interview by understanding Gizmo's mission and products. Think about how your experience aligns with their goals and be ready to discuss how you can contribute to their AI features.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Gizmo team.
We think you need these skills to ace Staff Product Engineer (AI Focus) in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission to make learning easy and fun. Share specific examples of projects you've worked on that demonstrate your skills in AI and product engineering.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Staff Product Engineer role. Highlight your TypeScript expertise and any relevant experience in building production AI systems. We love seeing how your unique background can contribute to our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and skills. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for Gizmo.
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 the role. Plus, it shows you’re serious about joining our mission to revolutionise learning.
How to prepare for a job interview at gizmo.ai
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems and how they work in a production environment. Be ready to discuss your experience with building and maintaining AI features, especially in a user-facing context. Gizmo is looking for someone who can hit the ground running!
✨Showcase Your TypeScript Skills
Since strong expertise in TypeScript is preferred, be prepared to demonstrate your coding skills. You might be asked to solve a problem or even write some code during the interview. Practise coding challenges that focus on TypeScript to ensure you're sharp and ready.
✨Prepare for Collaboration Questions
Gizmo values collaboration between technical and non-technical teams. Think of examples from your past experiences where you successfully worked with designers or product managers. Highlight how you communicated complex ideas clearly and effectively to different stakeholders.
✨Understand the User Impact
Gizmo is all about making learning fun and effective. Be ready to discuss how your previous work has made a tangible difference for users. Prepare to share specific examples of how you've improved user experiences through AI-driven features, as this will resonate well with their mission.