Senior Node Developer, AI/LLM, Gaming Company

What you’ll do

·      Define and drive the architecture for AI features and backend systems — including APIs, data persistence, streaming pipelines, and integration with existing services — ensuring they meet high standards for scalability, reliability, and maintainability.

·      Lead the design of core AI infrastructure (LLM orchestration, context management, tool calling, multi-turn session handling, safety/guardrails) with a strong emphasis on production readiness.

·      Partner closely with Product, Design, and other engineering teams to translate product vision into technical strategy; provide architectural guidance, feasibility assessments, and long-term technical roadmaps.

·      Establish and raise the bar for engineering excellence: testing strategies, performance monitoring, observability, A/B experimentation frameworks, and operational excellence for AI systems.

·      Mentor and grow senior engineers; drive technical decision-making across teams and contribute to company-wide engineering standards and best practices.

·      Identify and resolve systemic issues in data modeling, database performance, and service reliability that impact AI feature quality and user experience.

What we’re looking for

·      Bachelor's Degree or above in Computer Science, or relative discipline.

·      8+ years of software engineering experience, with 5+ years focused on backend systems and distributed services.

·      2+ years of hands-on experience building and shipping AI/LLM-powered features in production customer-facing applications, with deep backend and infrastructure ownership.

·      Expert-level proficiency in Node.js/TypeScript and modern backend technologies.

·      Deep expertise in Postgres (advanced schema design, indexing strategies, query optimization, performance tuning at scale).

·      Proven track record of designing and delivering complex backend systems end-to-end, including API design, data modeling, and system architecture that other teams build upon.

·      Strong understanding of web technologies and frontend integration patterns to ensure seamless end-to-end experiences.

·      Demonstrated ability to influence technical direction across teams and raise engineering standards.

·      Excellent Communication Skill in Cantonese and English.

Nice to Have

·      Experience with real-time/streaming architectures (WebSockets, SSE, event-driven systems) and high-throughput data pipelines.

·      Hands-on experience with Vercel, Next.js, or similar modern full-stack frameworks in production.

·      Advanced use of ORMs/migration tools (Prisma, TypeORM, etc.) and database evolution strategies.

·      Experience with feature flags, progressive rollouts, and safe deployment practices for AI systems.

·      Background in data-intensive applications, ETL pipelines, or analytics/warehousing systems.

·      Experience building B2C or B2B SaaS platforms with heavy database and AI workloads.

·      Practical knowledge of AI safety, privacy, evaluation frameworks, and production guardrails.

·      Cloud platform expertise (AWS/GCP/Azure) focused on scalable data services and AI infrastructure.

·      Experience mentoring senior engineers and driving cross-team technical initiatives.