Senior Ai Engineer

Design, build, and deploy generative AI capabilities across Typeform’s products.

Develop applications using large language models, RAG, vector search, and agentic systems.

Build services and APIs that allow product teams to integrate AI capabilities into customer experiences.

Turn prototypes into reliable production systems with clear measures of performance and quality.

Explore new ways for customers to collect, understand, and act on information using AI.

Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS.

Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow.

Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search.

Use MLflow to manage experiments, model versions, registries, and deployments.

Improve the reliability, performance, scalability, and cost efficiency of our AI systems.

Build automated evaluation pipelines for generative AI applications.

Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost.

Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking.

Monitor AI systems in production and identify opportunities to improve their quality and performance.

Create safeguards that reduce unexpected behaviour and protect customer data.

Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems.

Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost.

Apply strong engineering practices across testing, security, observability, version control, and deployment.

Share technical knowledge and support the development of other engineers.

Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform.

Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs.

Work with Data Scientists to turn experiments and models into reliable production services.

Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners.

Contribute to technical planning and help shape the direction of AI across Typeform.

Experience working in a B2B SaaS product company.

Experience with orchestration tools such as Airflow or Argo Workflows.

Familiarity with SQL, Spark, Snowflake, or other data processing technologies.

Experience building systems that combine structured data, unstructured data, and generative AI.

Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.

Experience improving the latency and cost of AI systems operating at scale.

Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.