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Forward Deployed Engineer, Western Europe
AIRemote — London, Western Europe
Published on 2026-11-09
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Embed with customer teams to identify valuable workflows and deliver production-ready AI agents and applications using Grok and SpaceXSI models. Own deployment quality and measurable outcomes, then help customer teams operate the systems and feed learnings back into product engineering.
About the company
Cursor builds an AI coding editor and agent workflows that help developers write and ship software faster. It serves software teams looking for tighter AI assistance inside the IDE.
The team
Solutions, Forward Deployment
Stack
GrokPythonJavaScriptTypeScriptMCP
What you'll do
- Lead customer discovery and define use cases, success metrics, and scope.
- Build and deploy production AI agents, applications, and coding-agent workflows.
- Integrate systems with customer authentication, data, tools, and delivery workflows.
- Harden deployments with monitoring, tracing, evaluations, testing, and iteration.
- Debug production failures and balance latency, cost, and quality.
- Measure outcomes such as revenue, cost, hours saved, error rate, and cycle time.
- Enable customer teams to operate deployed systems and share reusable learnings with product engineering.
What we're looking for
- 5+ years of experience in software engineering, machine learning engineering, or data science.
- Experience owning a customer or operator outcome and delivering a scoped, shipped system from an ambiguous problem.
- Experience building and owning production AI-native workflows or agents using Python, JavaScript, or TypeScript.
- Experience debugging production failures across models, tools, data, pipelines, or delivery.
Nice to have
- 2+ years in a customer-facing role leading discovery and owning external stakeholder outcomes.
- Hands-on experience with agents and tool-calling, evaluation harnesses, retrieval and context systems, CI/CD or developer platforms, or AI-native coding workflows.
- Experience as a forward-deployed, solutions, or platform engineer, or as a founding engineer who owned an AI product end to end.