Applications Engineer - Remote

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About the role

Principal Applied AI Engineer Location: United Kingdom or Netherlands (Remote/Hybrid) My client is an enterprise software company that is making a significant investment in AI-native products and building a team of Applied AI Engineers to help define the next generation of its platform. This is a highly hands-on role focused on designing, building, deploying, and operating production AI systems. You'll own AI-powered product features end-to-end, working across application development, agent orchestration, retrieval systems, deployment, observability, and customer-facing implementation. We're looking for engineers who have shipped real AI products to real users and understand the challenges that come with operating them in production. Build AI-powered product features from concept through production Develop evaluation frameworks and testing strategies for non-deterministic AI systems Work across the stack, including frontend, backend, infrastructure, and deployment Partner closely with product, engineering, and customers to deliver impactful AI capabilities Help establish best practices for production AI engineering across the organization Production AI Experience Proven experience shipping LLM-powered products to production Experience operating AI systems at scale and managing real-world failure modes Experience building agentic workflows and tool-calling systems Strong understanding of retrieval systems, embeddings, vector databases, hybrid search, and re-ranking AI Evaluation & Observability Experience building evaluation frameworks for AI systems Familiarity with regression testing, LLM evaluation methodologies, and performance monitoring Strong Python development experience in production environments Experience with TypeScript, modern web frameworks, and API development We're particularly interested in engineers who have experience building customer-facing AI products, working closely with users, and owning systems from idea through production. Experience in enterprise SaaS, industrial software, operations technology, maintenance platforms, or forward-deployed engineering environments is beneficial but not required. AI strategists without recent hands-on engineering experience Researchers without product or deployment experience Engineers who cannot clearly explain how they evaluate AI systems in production If you're excited about building production AI products, working closely with customers, and helping shape an AI-native platform from the ground up, we'd love to hear from you.

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