Forward Deployed Engineer - Japan

Remote · Singapore · 2+ years experience · Full-time · Remote · Posted Oct 9, 2026

At a glance

You embed directly with customer teams as the engineer on the ground to own outcomes and ship production-grade systems.
Act as the critical technical feedback loop from the field back to product engineering.
Own work end to end, from the first discovery call through launch, iteration, and post-launch support.

Lead discovery with the customer 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 company 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 including tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs.
Build systems around the model such as tools, MCP servers, retrieval, rules, skills, CI gates, and evals, and integrate them into customer auth, data, workflow, and delivery systems.
Measure the outcomes that matter like 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 the customer team able to run what you built, and turn what you learn into reusable patterns and improvements to products.

5+ years of experience in software engineering, machine learning engineering, or data science.
Write and review production code in Python, JavaScript/TypeScript, or other languages.
Have owned a customer or operator outcome, not just a slide or prototype, and can turn a fuzzy problem into a scoped, shipped system.
Have built and owned AI-native workflows or agents in production, and debugged real production failures including model, tool, data, pipeline, or delivery path.
Have handled production reliability including metrics, alerts, safe rollouts, and incident response.
Build end to end across frontend, backend, infra, and prompt iteration.
Thrive in ambiguity and do not need a complete spec before starting to build.
Can talk to working engineers and to a VP.
Fluency in both Japanese and English.

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.