AI Engineer

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, deployment, observability, reliability, and performance.

You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.

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.

Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.

This is a hands‑on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use.

Shape the technical direction of Research Flow

• 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.

Lead and deliver complex AI engineering work

• Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery.
• Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems.
• Stay close to implementation through prototyping, production code, design reviews, and debugging.
• Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering.
• Build reusable services and APIs that help product teams deliver AI capabilities consistently.
• Make pragmatic decisions about when to build, buy, simplify, or stop an approach.

Build scalable AI foundations

• Guide the architecture of machine learning services and…