kadence
Staff Applied AI Engineer
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Staff Applied AI Engineer
Location: Amsterdam / London preferred
Employment: Full-time
We’re partnering with a growing enterprise software company that is building out a new Applied AI engineering team in the UK.
We’re looking for experienced engineers who have gone beyond AI prototypes and have built, deployed, and improved LLM/AI systems in production.
What you'll work on
Depending on your background, you'll have the opportunity to specialize in areas including:
- Agentic Systems: production agents, tool calling, MCP, orchestration, and human-in-the-loop workflows
- Evaluation & Measurement: eval frameworks, golden datasets, LLM-as-a-Judge, regression testing, and observability
- AI Platform & Lifecycle: scalable AI infrastructure, model/provider management, monitoring, and production reliability
- Knowledge & Retrieval: RAG, hybrid search, reranking, knowledge graphs, and semantic models
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What we're looking for
We're looking for strong software engineers with meaningful production Applied AI experience. You don't need to be an expert across every area above, but should have deep experience in at least one.
Relevant experience may include:
- Python and/or C#
- Production LLM, RAG, or agentic systems
- Backend APIs and distributed systems
- LangGraph, MCP, or similar agent frameworks
- Langfuse, LangSmith, Braintrust, or Phoenix
- Azure AI Foundry/OpenAI, AWS Bedrock, or Vertex AI
- CI/CD, cloud infrastructure, and observability
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Most importantly, we're looking for people who understand the full production AI lifecycle - building, deploying, evaluating, monitoring, and continuously improving AI systems based on real-world performance.
This is a hands-on engineering role with significant technical ownership and the opportunity to help shape a new Applied AI team from the ground up.
If you've taken AI systems from “it works in a demo” to “it works reliably in production,” we'd love to hear from you.
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