Full Stack Engineer - AI
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Summary
Full-stack engineer at a funded AI infrastructure company in Singapore, building AI-native products end to end: Rust backend services, React/React Native frontends, and production agentic workflows — while heavily leveraging AI coding agents like Claude Code, Codex, and Cursor.
Full Stack Engineer – AI
We are partnering with a fast-growing AI technology company that is building infrastructure and developer tools for the next generation of autonomous AI. The company develops AI-native products that enable AI agents to securely interact with APIs, applications, enterprise systems, and other external tools. With its core products already developed and strong funding runway, the team is now expanding its engineering capability and looking for a
Full Stack Engineer – AI
who can take ownership of building and shipping production-grade AI products.
About the Role This is an opportunity for a versatile full-stack engineer who is highly experienced with modern AI development tools and knows how to turn AI-assisted development into reliable production software. The team strongly embraces AI-native engineering. Rather than simply using AI tools for occasional coding assistance, engineers are expected to actively leverage coding agents such as
Claude Code, Codex, Cursor, or equivalent tools
to accelerate development while maintaining full ownership of architecture, code quality, testing, and production reliability. You will work across the stack, primarily with
Rust on the backend and React / React Native on the frontend , and take ownership of features from agent runtime and backend services through to the user-facing interface.
Key Responsibilities Build, develop, and ship
AI-powered and AI-native products
end to end. Design and operate
production-grade agentic workflows and AI agent systems , including agent harnesses, iterative execution, and feedback loops. Leverage AI coding agents such as
Codex, Claude Code, Cursor, or equivalent tools
to accelerate software delivery. Review, test, validate, and take full ownership of AI-generated code before deployment. Develop scalable backend services primarily using
Rust . Build modern frontend applications using
React , with exposure to
React Native
preferred. Design and improve agent or coding-agent harnesses and agent-driven development workflows. Take ownership of production engineering fundamentals including
testing, observability, reliability, performance, and security . Work closely with a highly technical team to continuously experiment with new AI development tools and engineering approaches.
Requirements Proven experience building and shipping
AI-powered or AI-native products
into production. Hands-on experience using
AI coding agents
such as Claude Code, Codex, Cursor, or similar tools in real-world software development. Experience designing and building
AI agents, agentic workflows, or production agent systems . Experience with
agent harnesses, iterative agent execution, feedback loops, or agent-driven development practices . Strong ability to review, test, debug, and take ownership of AI-generated code. Backend engineering experience with
Rust , or a strong systems engineering background with genuine interest in developing deep Rust expertise. Strong frontend development experience with
React . Experience with
React Native
would be highly advantageous. Strong understanding of software engineering fundamentals including architecture, testing, observability, reliability, and security. Strong ownership mindset with the ability to move quickly while maintaining high engineering standards.
Nice to Have Public technical contributions such as
open-source projects, GitHub repositories, AI experiments, or build-in-public projects . Experience operating AI agents at scale. Experience developing
developer tools, AI infrastructure, or engineering platforms . Experience building your own
agent harness, coding-agent framework, or loop-based development tooling . Experience working in a fast-paced startup or product engineering environment.
Why Consider This Opportunity You will join a highly technical AI team working on infrastructure that enables autonomous AI systems to operate reliably in real-world production environments. This role would particularly suit an engineer who actively experiments with frontier AI tools, enjoys building new systems from the ground up, and wants substantial ownership over both the technical architecture and products they ship. All applications will be treated with strictest confidence. We regret to inform you that only shortlisted candidates will be notified.
EA Licence No: 19C9807
Registration No: R22110556 (ZHOU DONGYANG)
We are partnering with a fast-growing AI technology company that is building infrastructure and developer tools for the next generation of autonomous AI. The company develops AI-native products that enable AI agents to securely interact with APIs, applications, enterprise systems, and other external tools. With its core products already developed and strong funding runway, the team is now expanding its engineering capability and looking for a
Full Stack Engineer – AI
who can take ownership of building and shipping production-grade AI products.
About the Role This is an opportunity for a versatile full-stack engineer who is highly experienced with modern AI development tools and knows how to turn AI-assisted development into reliable production software. The team strongly embraces AI-native engineering. Rather than simply using AI tools for occasional coding assistance, engineers are expected to actively leverage coding agents such as
Claude Code, Codex, Cursor, or equivalent tools
to accelerate development while maintaining full ownership of architecture, code quality, testing, and production reliability. You will work across the stack, primarily with
Rust on the backend and React / React Native on the frontend , and take ownership of features from agent runtime and backend services through to the user-facing interface.
Key Responsibilities Build, develop, and ship
AI-powered and AI-native products
end to end. Design and operate
production-grade agentic workflows and AI agent systems , including agent harnesses, iterative execution, and feedback loops. Leverage AI coding agents such as
Codex, Claude Code, Cursor, or equivalent tools
to accelerate software delivery. Review, test, validate, and take full ownership of AI-generated code before deployment. Develop scalable backend services primarily using
Rust . Build modern frontend applications using
React , with exposure to
React Native
preferred. Design and improve agent or coding-agent harnesses and agent-driven development workflows. Take ownership of production engineering fundamentals including
testing, observability, reliability, performance, and security . Work closely with a highly technical team to continuously experiment with new AI development tools and engineering approaches.
Requirements Proven experience building and shipping
AI-powered or AI-native products
into production. Hands-on experience using
AI coding agents
such as Claude Code, Codex, Cursor, or similar tools in real-world software development. Experience designing and building
AI agents, agentic workflows, or production agent systems . Experience with
agent harnesses, iterative agent execution, feedback loops, or agent-driven development practices . Strong ability to review, test, debug, and take ownership of AI-generated code. Backend engineering experience with
Rust , or a strong systems engineering background with genuine interest in developing deep Rust expertise. Strong frontend development experience with
React . Experience with
React Native
would be highly advantageous. Strong understanding of software engineering fundamentals including architecture, testing, observability, reliability, and security. Strong ownership mindset with the ability to move quickly while maintaining high engineering standards.
Nice to Have Public technical contributions such as
open-source projects, GitHub repositories, AI experiments, or build-in-public projects . Experience operating AI agents at scale. Experience developing
developer tools, AI infrastructure, or engineering platforms . Experience building your own
agent harness, coding-agent framework, or loop-based development tooling . Experience working in a fast-paced startup or product engineering environment.
Why Consider This Opportunity You will join a highly technical AI team working on infrastructure that enables autonomous AI systems to operate reliably in real-world production environments. This role would particularly suit an engineer who actively experiments with frontier AI tools, enjoys building new systems from the ground up, and wants substantial ownership over both the technical architecture and products they ship. All applications will be treated with strictest confidence. We regret to inform you that only shortlisted candidates will be notified.
EA Licence No: 19C9807
Registration No: R22110556 (ZHOU DONGYANG)
