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About the role
As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products. You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience.
What they're looking for
- Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities
- Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis
- Identify the technical constraints and dependencies that matter most, and help teams address them early
- Define how AI capabilities, data flows, and services work together as the product evolves
- Balance immediate delivery needs with longer-term reliability, scalability, and maintainability
- Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery
More about this role
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.
Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands.
About the team
The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.
We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.
Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.
The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure,...
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