Senior AI/LLM Engineer, Node.js (Up to 70K, Lead Gaming Company)

Salary: $58,000 – $70,000 per month

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

· 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 in Cantonese, English proficiency is an advantage.

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.