Summary
✨ AI‑Generated
An enterprise software organization is expanding its AI engineering team and seeking an experienced engineer who can design, deploy, and improve production AI solutions using modern machine learning approaches.
Highlights
Build production-grade AI systems and work on advanced applications involving large language models, automation, and AI infrastructure.
Description
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 workflowsEvaluation & Measurement – eval frameworks, golden datasets, LLM-as-a-Judge, regression testing and observabilityAI Platform & Lifecycle – scalable AI infrastructure, model/provider management, monitoring and production reliabilityKnowledge & Retrieval – RAG, hybrid search, reranking, knowledge graphs and semantic models
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 systemsBackend APIs and distributed systemsLangGraph, MCP or similar agent frameworksLangfuse, LangSmith, Braintrust or PhoenixAzure AI Foundry/OpenAI, AWS Bedrock or Vertex AICI/CD, cloud infrastructure and observability
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.