Senior AI/LLM Engineer, Node.js (Up to 70K, Lead Gaming Company)
Senior AI/LLM engineer at a gaming company in Hong Kong who defines the architecture for AI features and backend systems (APIs, data persistence, streaming, LLM orchestration with guardrails), partners with product teams, and mentors senior engineers. Core stack is Node.js/TypeScript with PostgreSQL.
- Compensation
- HK$58K–HK$70K / mo
- Location
- Tsim Sha Tsui, Yau Tsim Mong District
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 8+ years software engineering experience, with 5+ years on backend systems and distributed services
- 2+ years hands-on experience building and shipping AI/LLM-powered features in production customer-facing applications
- Expert-level proficiency in Node.js/TypeScript and modern backend technologies
- Deep expertise in Postgres (advanced schema design, indexing, query optimization, performance tuning at scale)
- Proven track record designing and delivering complex backend systems end-to-end (API design, data modeling, system architecture)
- Strong understanding of web technologies and frontend integration patterns
- 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) 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
Full description
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.