kadence
Artificial Intelligence Engineer
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Applied AI Engineer – Enterprise SaaS | Netherlands or UK (Hybrid)
I'm partnering with a fast-moving Enterprise SaaS company undergoing a genuine AI-native transformation. They are not bolting AI onto an existing product, but rebuilding workflows from the ground up around AI-powered automation. Their customers are industrial operators, and the product directly shapes how maintenance, planning, and compliance work gets done in the field.
They're hiring a small number of experienced Applied AI Engineers to join cross-functional product squads. Each engineer owns a vertical slice of an AI-native feature end-to-end - interface, orchestration, deployment, and observability. This is a build-and-ship mandate, not a research or strategy role.
What you'll be doing
- Design and ship production-grade AI features - RAG pipelines, agentic systems, evaluation harnesses - for real customers at real scale.
- Work closely with PMs and existing engineers.
- Raise the people around you, not just contribute in isolation.
- Customer curiosity is part of the job; expect to join customer calls and occasionally visit sites.
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What they're looking for
- Genuinely full-stack: comfortable shipping across frontend (React/TypeScript), backend (Python/TypeScript), and infrastructure (Azure, containers, CI/CD)
- Hands-on production experience with LLM-powered features shipped post-2023 — real users, real failure modes, not demos or internal chatbots
- Deep applied AI craft: RAG pipelines, Graph RAG, agentic systems (tool calling, multi-step reasoning, human-in-the-loop), and structured outputs
- Eval-literate — able to design and maintain evaluation harnesses for non-deterministic systems; LLM-as-judge, regression suites, agent trajectory scoring
- Familiar with AI observability tooling (Langfuse, LangSmith, Braintrust, or equivalent) and vector databases
- Strong communicator who can explain complex systems simply and collaborate across a mixed-skill squad
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Strongly preferred
- Experience in a forward-deployed or customer-facing engineering role
- Day-to-day use of AI coding agents (Claude Code, Cursor, Windsurf) and a view on Spec-Driven Development
- Background in industrial, operations, or vertical SaaS is a plus — but curiosity about the domain matters more than prior experience
Location
- Hybrid. Preferred locations: Netherlands (HQ) or UK.
Interested? I'd love to hear from engineers who think in trade-offs, care about whether the feature actually works, and want to be close to the customer problem they're solving.
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