Senior AI Engineer - Typeform

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 products. 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.

The team owns the journey from experimentation through to production, including AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.

About the role

As a Senior AI Engineer at Typeform, you will design, build, and operate the systems behind our AI products. Your work 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 engineering role with strong ownership. You will help turn ideas and prototypes into production systems used by our customers and define technical standards for developing, evaluating, deploying, and monitoring AI across Typeform.

Key Responsibilities

• Build and deliver AI products: Design, build, and deploy generative AI capabilities using large language models, RAG, vector search, and agentic systems.
• Build scalable AI systems: Design and operate machine learning services and workflows using Python, Docker, Kubernetes, AWS, Kafka, and Airflow.
• Evaluate and improve AI quality: Build automated evaluation pipelines, develop benchmarks for accuracy and latency, and monitor production systems.
• Shape our AI engineering practice: Establish reusable patterns, mentor other engineers, and keep up with relevant AI research and tooling.
• Collaborate across teams: Partner with Product, Engineering, Data Science, and Analytics teams to connect AI investments with business needs.

What you bring

• At least 4 years of experience building and deploying machine learning or AI systems in production.
• Strong Python and software engineering skills, including FastAPI.
• Practical experience developing generative AI applications using LLMs, RAG, tool use, or agentic systems.
• Experience with frameworks such as PyTorch, LangChain, or LangGraph.
• Understanding of enterprise RAG systems, vector databases, chunking, embeddings, and reranking.
• Experience with AWS, Docker, Kubernetes, Terraform, MLflow, and Datadog or OpenSearch.
• Strong communication skills and experience collaborating across product and engineering teams.