Staff AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, Ireland, +4 more countries – Remote

🇬🇧 United Kingdom – Remote 🇮🇪 Ireland – Remote 🇩🇪 Germany – Remote 🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote 🇳🇱 Netherlands – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 10%

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Typeform

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

📣 Marketing

💼 Consulting

🏥 Healthcare

Marketing • Consulting • Healthcare

Typeform is a versatile online form builder that enables businesses to create forms, surveys, and quizzes that are engaging and easy to use. With a focus on delivering a superior user experience, Typeform designs forms that break the mold by using branded designs, video content, and dynamic questioning that adapts based on previous answers. Ideal for B2B marketers, Typeform not only facilitates data collection but also offers AI analysis to derive insights from customer data, helping businesses make more informed decisions. Typeform integrates seamlessly with numerous apps, providing robust and dynamic solutions for marketing, research, human resources, and customer success teams.

📋 Description

• Shape the technical direction of Research Flow and Typeform’s broader AI systems • Partner with Product and Engineering leaders to define technical direction and delivery priorities • Lead architecture for AI-assisted study design, adaptive conversations, and research synthesis • Own complex AI engineering problems from exploration through production delivery • Design and build generative AI applications using LLMs, RAG, vector search, tool use, and agentic systems • Build reusable AI services and APIs for product teams • Guide machine learning service and workflow architecture using Python, Docker, Kubernetes, and AWS • Design reliable batch and real-time processing pipelines using Kafka and Airflow • Improve experiment, model version, registry, and deployment management using tools such as MLflow • Define evaluation strategies, benchmarks, release criteria, and production monitoring for generative AI • Improve retrieval quality through chunking, embeddings, context selection, and reranking • Build security, privacy, and safeguards against unexpected model behavior into system design • Establish reusable standards for building, evaluating, deploying, and operating AI systems • Mentor engineers and support technical leads • Collaborate with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect technical work to customer outcomes

🎯 Requirements

• Significant experience building and operating machine learning or AI systems in production, with technical leadership beyond individual projects • Track record leading complex, cross-team engineering initiatives from ambiguous requirements to measurable production outcomes • Strong Python and software engineering skills • Experience designing production services and APIs using frameworks such as FastAPI • Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems • Strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring • Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions • Experience with PyTorch, LangChain, LangGraph, or similar technologies • Strong experience with AWS, Docker, Kubernetes, Terraform, and CI/CD practices • Familiarity with AWS SageMaker or AWS Bedrock • Experience with event-driven processing, vector databases, and ML lifecycle tools such as Kafka and MLflow, or comparable technologies • Experience establishing observability and diagnosing production issues using Datadog or OpenSearch • Ability to balance delivery speed, quality, reliability, scalability, security, and cost • Ability to influence technical decisions across teams without formal authority • Experience mentoring engineers and improving team effectiveness

🏖️ Benefits

• Fully remote by design • Equal-opportunity employer committed to diversity and non-discrimination • Collaborative culture grounded in respect, transparency, and trust