Forward Deployed Engineer

Australia · Singapore · 2+ years experience · Full-time · Onsite · Posted Oct 14, 2026

At a glance

You embed directly with customer teams as the engineer on the ground to own an outcome, ship a production-grade SpaceXAI system, and act as a critical technical feedback loop from the field to product engineering.
This is not a demo role, as you own the work end to end from the first discovery call through launch, iteration, and post-launch support.
You measure what matters, leave the customer able to operate the system, and bring patterns back as use cases for SpaceXAI.

Lead discovery with the customer to orient in codebases and workflows, find bottlenecks, identify use cases, and define clear success metrics.
Design and ship production agents, AI applications, and coding-agent workflows on Grok and other models for live business processes and customer engineering organizations.
Get a first version live in days and harden it over weeks with rollout, monitoring, and iteration from real usage.
Own production quality including tracing, evals, debugging model or delivery failures, and balancing latency and cost tradeoffs.
Build systems around the model such as tools, MCP servers, retrieval, rules, skills, CI gates, and evals while integrating them into customer systems.
Measure outcomes that matter such as revenue, cost, hours saved, error rate, cycle time, and escaped defects.
Work directly with Staff+, platform, and domain leaders while communicating clearly about tradeoffs and results.
Leave the customer team able to run what you built and turn learnings into reusable patterns and product improvements.

You have 5+ years of experience in software engineering, machine learning engineering, or data science.
You write and review production code in Python, JavaScript/TypeScript, or other languages.
You have owned a customer or operator outcome rather than just a slide or prototype, turning a fuzzy problem into a scoped, shipped system.
You have built and owned AI-native workflows or agents in production and debugged real production failures.
You have handled production reliability including metrics, alerts, safe rollouts, and incident response.
You build end to end across frontend, backend, infra, and prompt iteration.
You thrive in ambiguity and do not need a complete spec before starting to build.
You can talk effectively to working engineers and a VP.

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.