Forward Deployed Engineer, Western Europe

About the role

Cursor is hiring a Forward Deployed Engineer based in London, working with customer teams in Western Europe. You embed directly with customers as the engineer on the ground: you own an outcome, ship a production-grade system that keeps running after you leave, and act as the technical feedback loop from the field back to product engineering. The work is the project.

Key responsibilities

• Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics.
• Design and ship production agents, AI applications and coding-agent workflows on Grok and other models, on live business processes and inside the customer's engineering organization.
• Get a first version live in days, then harden it over weeks with rollout, monitoring and iteration from real usage.
• Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs.
• Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates and evals) and integrate them into the customer's auth, data, workflow and delivery systems.
• Measure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoption.
• Work directly with Staff+, platform and domain leaders, and leave the customer team able to run what you built, turning your learnings into reusable patterns and product improvements.

Required profile

• 5+ years of experience in software engineering, machine learning engineering or data science.
• Experience owning a customer or operator outcome, not just a slide or a prototype.
• Experience building and owning AI-native workflows or agents in production, and debugging real production failures.
• Preferred: 2+ years in a customer-facing role leading discovery and accountable for outcomes for external stakeholders.
• Preferred: experience as a forward-deployed, solutions or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end.

Required skills

• Production agents and AI applications built with Python and JavaScript/TypeScript.
• Preferred: hands-on depth in agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repository.