Responsibilities
- Architect, build, and maintain production-grade SaaS applications across the entire stack using modern JavaScript/TypeScript, frontend frameworks (React/Vue), and backend environments (Node.js/NestJS).
- Design resilient APIs, database schemas (Postgres, MongoDB), and cloud-native services capable of scaling with business growth.
- Partner closely with Product, Design, and Engineering leaders to turn complex operational and financial challenges into simple, robust software solutions.
- Architect and implement agentic AI capabilities and intelligent workflows into production applications (e.g., document processing, automated classification, and decision-support systems).
- Establish reliability patterns for AI features, including guardrails, evaluation frameworks, fallback strategies, and observability for model behavior.
- Build and maintain engineering harnesses, automated workflows, and internal developer tooling that eliminate friction in the engineering lifecycle.
- Introduce modern AI-assisted development tools (such as Cursor, automated test/documentation generators, and debugging aids) to significantly increase productivity across the entire engineering organization.
- Identify and eliminate performance bottlenecks in APIs, data pipelines, and backend microservices.
- Mentor senior and mid-level engineers, lead technical architecture reviews, and raise the bar for code quality, testing, and system design across Sleek.
Requirements
- Deep technical execution across the full stack—from intuitive user interfaces to scalable distributed backend systems.
- Experience with modern JavaScript/TypeScript, frontend frameworks (React/Vue), and backend environments (Node.js/NestJS).
- Ability to design resilient APIs, database schemas (Postgres, MongoDB), and cloud-native services.
- Proven ability to solve ambiguous engineering problems and operate with high autonomy.
- Experience in championing developer productivity and embedding agentic AI workflows into products.
Nice to Have
- Experience mentoring senior and mid-level engineers.
- Leadership in technical architecture reviews and raising code quality standards.
- Background in building SaaS applications at scale.
- Familiarity with AI integration patterns and observability for model behavior.
Work Arrangement
Remote (Country) — Singapore, Hong Kong, Australia, UK
