Overview
As a Forward Deployed Engineer, you embed directly with customer teams to own outcomes, ship production-grade SpaceXAI systems, and provide technical feedback from the field to product engineering. You own work end to end from discovery through launch, iteration, and post-launch support.
What you'll do
- Lead discovery with customers by orienting in their codebases and workflows, finding the real bottleneck and use case worth building, and defining clear success metrics.
- Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models across live business processes and customer engineering organizations.
- Get a first version live in days, then harden it over weeks through rollout, monitoring, and iteration from real usage.
- Own production quality, including tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs.
- Build systems around the model, including tools, MCP servers, retrieval, rules, skills, CI gates, and evals.
- Integrate systems into customer authentication, data, workflow, and delivery systems, and decide whether prompting, architecture, data, process, or a model change is the right lever.
- Measure outcomes including revenue, cost, hours saved, error rate, cycle time, and escaped defects rather than seat adoption.
- Work directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and results.
- Leave customer teams able to run what you built and turn learnings into reusable patterns and improvements to SpaceXAI products.
What you'll need
- 5+ years of experience in software engineering, machine learning engineering, or data science.
- Ability to write and review production code in Python and JavaScript/TypeScript; other languages are welcome.
- Experience owning a customer or operator outcome, not just a slide or prototype, and turning a fuzzy problem into a scoped, shipped system.
- Experience building and owning AI-native workflows or agents in production and debugging real production failures involving models, tools, data, pipelines, or delivery paths.
- Experience handling production reliability, including metrics, alerts, safe rollouts, and incident response.
- Ability to build end to end across frontend, backend, infrastructure, and prompt iteration.
- Ability to thrive in ambiguity without needing a complete specification before starting to build.
- Ability to talk to working engineers and to a VP.
- Fluency in both Japanese and English.
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
Read the full description and apply on the company’s own careers page.