Forward Deployed Engineer, Western Europe

Overview

Embed directly with customer teams as the engineer on the ground, owning an outcome and shipping a production-grade SpaceXSI system that keeps running after you leave, while acting as the critical technical feedback loop from the field back to product engineering.

What you'll do

• 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 our models, on live business processes and inside the customer's engineering org
• 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; decide when prompting, architecture, data, process, or a model change is the right lever
• 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, going deep in their systems while communicating clearly about tradeoffs and results
• Leave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXSI products

What you'll need

• 5+ years of experience in software engineering, machine learning engineering, or data science
• Have owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped system
• Have built and owned AI-native workflows or agents in production (using Python, JavaScript/TypeScript), and debugged real production failures (model, tool, data, pipeline, or delivery path)

Nice to have

• 2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholders
• Hands-on depth in several of: agents and tool-calling, eval harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in a real repo
• 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

Details

• Location: Western Europe (London listed as the location)