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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 learning.
- Benefits: Competitive salary, equity, hybrid work, private health insurance, and enhanced parental leave.
- Why this job: Make a real impact by developing AI systems used by millions of learners.
- Qualifications: 8+ years in software engineering with strong TypeScript or JavaScript skills.
- Other info: Be part of a fast-growing startup with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ 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 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’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
Staff Product Engineer (AI Focus) employer: Gizmo
Contact Detail:
Gizmo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Product Engineer (AI Focus)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Gizmo. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and TypeScript expertise. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by understanding Gizmo's mission and products. Be ready to discuss how your experience aligns with their goals and how you can contribute to making learning fun and effective.
✨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 the Gizmo team.
We think you need these skills to ace Staff Product Engineer (AI Focus)
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 fun and impactful. 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 candidates connect their background to what we do at Gizmo!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential fit for the team.
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 us you’re serious about joining our mission 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 how they integrate with product features. Gizmo is looking for someone who can design and improve production AI systems, so be ready to discuss your hands-on experience with AI models and prompt engineering.
✨Showcase Your TypeScript Skills
Since the role involves working with a TypeScript codebase, it’s crucial to demonstrate your expertise in this area. Prepare examples of past projects where you’ve used TypeScript to build user-facing features, and be ready to explain your coding decisions.
✨Collaborate Like a Pro
Gizmo values collaboration between design, product, and engineering teams. Be prepared to share experiences where you’ve worked cross-functionally to solve real problems. Highlight your communication skills and how you’ve engaged with both technical and non-technical stakeholders.
✨Think Impact
This role is all about making a tangible difference. During the interview, focus on how your work has positively impacted users in previous roles. Discuss specific metrics or outcomes that showcase your ability to drive results and improve user experiences.