Our client is a Singapore-based, venture-backed AI company. Its platform coaches and supports sales and client-facing teams of large enterprises across Asia-Pacific in real time, including through AI agents and voice.

The client’s products have grown quickly, and the next step is to turn proven product capabilities into a shared platform that every product team builds on. As the Staff Platform Engineer, you will own the platform architecture and shared interfaces: multi-tenant configuration and policy, common services, and the migration path that moves product teams onto them without stopping delivery. This is a hands-on individual contributor role, not a management one. The engineering team is distributed across India and Southeast Asia, so substantial overlap with Singapore working hours is required.

• Owning the platform architecture and shared interfaces that the client’s AI products are built on.
• Designing multi-tenant configuration and policy: how tenant, product, environment and region settings resolve, tenant isolation, secrets, and data residency and retention rules.
• Extracting shared capabilities (authentication, model access, speech, retrieval) from existing products into well-owned services and libraries.
• Planning and leading incremental migrations so product teams adopt the platform without stopping delivery.
• Writing production code yourself: first implementations, reference services and golden paths.
• Writing RFCs and decision records, aligning teams on technical direction, and mentoring engineers.
• Raising the engineering bar across repositories: static typing, linting, testing, CI and observability.
• Working with Product on client-specific requests: deciding between configuration, a product feature or a custom build.
• Collaborating with the Voice and Realtime engineer where voice meets shared configuration, model-access and evaluation infrastructure.

• Typically 8+ years in backend engineering, with recent hands-on delivery at Staff, Principal or Lead scope.
• Proven experience decomposing a large production application or building a multi-tenant platform, and moving several teams onto shared services without stopping delivery.
• Strong backend and distributed-systems depth; production experience with TypeScript/Node.js (preferred) or another backend stack such as Python, Go or Java.
• Experience with tenant configuration, identity and permissions (IAM), tenant data isolation and secrets management.
• Hands-on experience with cloud infrastructure, CI/CD and observability.
• Ability to drive adoption across independent teams through RFCs, working code and influence rather than formal authority.
• Product thinking: weighing configuration vs. feature vs. custom build and explaining the tradeoffs to non-engineers.
• Upper-Intermediate or higher English for daily work with a distributed team, and substantial overlap with Singapore working hours.

• Fintech, enterprise SaaS or regulated-industry background (data residency, retention, compliance).
• Building internal developer platforms, golden paths or developer tooling.
• LLM-based products: model gateways, prompt and configuration management, evaluation infrastructure.
• Speech, voice or other real-time systems.
• Practical use of AI coding tools (Claude Code, Codex, or similar).

• Competitive salary and benefits package.
• Flexible working hours to maintain work-life balance.
• 20 working days of annual vacation + paid state holidays.
• Paid sick leave.
• Personal laptop with all necessary software.
• Support services: Corporate accountant, lawyer, and psychologist.
• Professional growth: 50% compensation for workshops and professional conferences.
• English classes (50% compensation).
• Transparent and bureaucracy-free management.

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