Senior AI Fullstack Engineer

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain, Portugal, or the Netherlands.

About the Role

As a Senior Software Engineer (AI) at Typeform, you’ll turn cutting-edge AI capabilities into elegant, production-ready product experiences. You’ll bridge the gap between research and real-world impact—helping millions of users benefit from intelligent, data-driven features that feel natural, fast, and useful.

You’ll work across the stack to design, implement, and scale intelligent product experiences that drive engagement and growth in a product-led SaaS (PLG) environment - from integrating LLMs and embeddings into our product to optimizing the systems that power them. You’ll partner closely with product managers, designers, and data scientists to define what great AI feels like in Typeform: human, intuitive, and reliable.

We’re looking for a pragmatic builder who’s excited about making AI work for people, not the other way around. Whether you’re strong on the backend or frontend today, what matters most is your curiosity, technical taste, and drive to bring innovative ideas into production.

Things you will do:

• Ship AI-powered product features

  • Build and ship AI-powered features that integrate LLMs, vector databases, or other ML components into production systems, designed to increase user engagement, retention, and self-service adoption.

  • Integrate large language models (LLMs), vector databases, and other ML components into user-facing applications.

  • Partner with data scientists and ML engineers to move prototypes and research models into scalable production systems.

• Build and maintain reliable systems

  • Develop APIs and microservices that enable personalized, data-rich experiences.

  • Optimize model inference pipelines for performance, latency, and cost efficiency.

  • Ensure system reliability and observability through solid testing, monitoring, and incident response practices.

• Collaborate across disciplines

  • Collaborate with product managers to define AI experiences that fit a product-led growth model, ensuring features are intuitive, discoverable, and high-value for end users.

  • Partner with Data Scientists/ML engineers to shape how models are trained, fine-tuned, and deployed.

  • Contribute to internal discussions on AI ethics, data quality, and responsible deployment.

• Drive engineering and operational excellence

  • Write clean, maintainable, and well-tested code.

  • Help improve our CI/CD setup (GitHub Actions, testing suites) to ensure smooth deployment of AI and non-AI features alike.

  • Participate in technical reviews, postmortems, and architecture discussions to raise the bar for quality.

• Keep learning and experimenting

  • Explore new AI capabilities, tools, and frameworks—and share your learnings with the team.

  • Use your learning budget to attend courses or conferences focused on applied AI and modern software engineering.

What you already bring to the table:

Full-stack fundamentals

• Solid experience building modern web applications using React, Next.js, and TypeScript.

• Strong backend experience in Python and Go, including designing APIs and scalable systems.

AI/ML integration experience

• Experience integrating AI models or APIs (e.g., OpenAI, Anthropic, Hugging Face) into production systems.

• Understanding of LLM operations, vector databases (e.g., Pinecone, Weaviate), or RAG (retrieval-augmented generation) patterns.

• Familiarity with prompt design, model evaluation, and performance optimization in real-world contexts.

Operational mindset

• Hands-on experience with CI/CD pipelines and testing (Jest, Cypress, VRT).

• Solid debugging skills across the stack and an eye for identifying root causes quickly.

Collaborative builder

• Strong communication and teamwork skills—you enjoy partnering across product, design, and AI teams.

• A pragmatic approach to innovation: you know when to ship quickly and when to refine for quality.