Forward Deployed Engineer (AI)

Location: Australia or Singapore

Company

Building a full AI and super-intelligence stack, including models, applications, and production systems.

What you will do

• Lead customer discovery, understand codebases and workflows, identify valuable use cases, and define success metrics.
• Design and ship production AI agents, AI applications, and coding-agent workflows on live business processes and within engineering organizations.
• Launch initial versions quickly, then improve them through rollout, monitoring, evaluation, debugging, and iteration from real usage.
• Build supporting systems including tools, MCP servers, retrieval, rules, skills, CI gates, and evaluation workflows.
• Integrate solutions with customer authentication, data, workflows, and delivery systems while managing architecture, data, process, latency, and cost trade-offs.
• Measure business outcomes, support customer operation after launch, and turn field learnings into reusable product improvements.

Requirements

• 5+ years of experience in software engineering, machine learning engineering, or data science.
• Production coding and code review experience with Python and JavaScript/TypeScript; other languages are welcome.
• Experience owning customer or operator outcomes and turning ambiguous problems into scoped, shipped systems.
• Experience building and owning AI-native workflows or agents in production and debugging model, tool, data, pipeline, or delivery failures.
• Experience with 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 work effectively in ambiguous environments without a complete specification and communicate with working engineers and VPs.

Nice to have

• 2+ years in a customer-facing role leading discovery conversations and owning outcomes for external stakeholders.
• Hands-on experience with agents and tool-calling, evaluation harnesses, retrieval and context systems, CI/CD or developer platforms, and AI-native coding workflows in real repositories.
• Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer owning an AI product end to end.

Culture & Benefits

• End-to-end ownership from discovery through launch, iteration, and post-launch support.
• Direct collaboration with Staff+ engineers, platform leaders, domain leaders, and customer teams.
• Work focused on production systems and measurable outcomes rather than demos or seat adoption.

Hiring process

• Apply through the company careers page.