Staff AI Engineer - EU

Typeform·United Kingdom (Remote)Remotesenior

In short

→Ingeniero de IA de alto nivel que define arquitectura y dirección técnica para productos de IA como Research Flow.
→Día a día: construye aplicaciones de IA generativa, sistemas RAG, flujos agente y pipelines ML en producción con enfoque en escalabilidad y confiabilidad.
→Destacado: liderazgo técnico en sistemas de IA complejos que impactan directamente en la experiencia del cliente.

Fluent English required for collaboration and documentation.

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What they ask for

✓Experiencia comprobada en ingeniería de IA con enfoque en LLMs, RAG y sistemas agente.
✓Capacidad para liderar decisiones arquitectónicas en entornos complejos y multidisciplinarios.
✓Habilidades sólidas en desarrollo de aplicaciones de IA generativa en producción.
✓Experiencia con pipelines de ML, evaluación de modelos y observabilidad de sistemas de IA.
✓Capacidad para colaborar con equipos de producto, datos y software en entornos remotos.
✓Enfoque en escalabilidad, confiabilidad y mantenibilidad de sistemas a largo plazo.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Large Language ModelsRAGVector SearchAgentic SystemsMachine Learning PipelinesModel EvaluationInfrastructureDeploymentObservabilityReliability

Who should you write to at Typeform?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Who we are 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. 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. 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. Things you will do 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

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