Forward Deployed EngineerSolutions·Full-time·Australia; Singapore; JapanApply →

CareersForward Deployed EngineerSolutions · Full-time · Australia; Singapore; JapanApply↓Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.About the roleYou embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXAI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering.The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer’s auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer’s repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. Either way, you measure what matters, leave the customer able to operate it, and bring the pattern back as another use case for SpaceXAI.This is not a demo role. You own the work end to end, from the first discovery call through launch, iteration, and post-launch support, and you are responsible for systems that work in the real world.What you’ll doLead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metricsDesign 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 orgGet a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usageOwn production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffsBuild 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 leverMeasure the outcome that matters (revenue, cost, hours saved, error rate, cycle time, escaped defects), not seat adoptionWork directly with Staff+, platform, and domain leaders, going deep in their systems while communicating clearly about tradeoffs and resultsLeave the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to SpaceXAI productsYou may be a fit ifRequiredYou have 5+ years of experience in software engineering, machine learning engineering, or data scienceYou write and review production code (Python, JavaScript/TypeScript; other languages welcome)You’ve owned a customer or operator outcome, not just a slide or a prototype, and can turn a fuzzy problem into a scoped, shipped systemYou’ve built and owned AI-native workflows or agents in production, and debugged real production failures (model, tool, data, pipeline, or delivery path)You’ve handled production reliability: metrics, alerts, safe rollouts, incident responseYou build end to end: frontend, backend, infra, and prompt iterationYou thrive in ambiguity and don’t need a complete spec before you start buildingYou can talk to working engineers and to a VPNice to have2+ years in a customer-facing role, leading discovery conversations and being accountable for outcomes for external stakeholdersHands-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 repoExperience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to endApply for this roleName*Email*Resume↥ Upload fileLinkedIn URLGitHub ProfileTell us about a time you convinced a technical audience to adopt a new solution or tool. What was the resistance and how did you handle it?Will you now or in the future require visa sponsorship to work in the country where this position is located?*YesNoHas someone at Cursor or Graphite referred you for this role? If so, please include their email hereSubmit application →