
Full Stack Engineer — AI Commerce Platform
JD Group plc3 months ago
Hong Kong, Hong Kong or Singapore, SingaporeMid Level
Responsibilities
- Design and implement multi-strategy AI model routing engines for low-latency, transparent, and auditable request-to-model matching.
- Build multi-level AI compute pricing, billing, subscription, and anti-arbitrage systems.
- Deploy and optimize microservices, caching, circuit breakers, database transactions, high-availability architectures, and automated failover.
- Integrate AI model evaluation data, user feedback, and real-time price caching and synchronization pipelines.
- Optimize cold-start performance, conduct load testing, and implement online learning and real-time statistical capabilities.
- Develop across the full lifecycle from API design through frontend implementation and production deployment.
Requirements
- At least 3 years of full-stack development experience.
- Deep understanding of major LLM capabilities, cost structures, and API protocols, including OpenAI, Anthropic, Google, and domestic models; or equivalent expertise in model aggregation or AI routing and commerce systems.
- Strong Go or Python backend development skills and Next.js/React frontend skills.
- Experience building low-latency recommendation, routing, scheduling, bidding, or other intelligent decision systems.
- Proficiency with Redis and PostgreSQL, with an understanding of online learning and real-time statistics.
- Experience with SaaS billing, subscription, or payment system integrations.
- Cloud-native, containerized deployment and operations experience.
- Preferred experience includes AI model routing or scheduling, recommendation systems, advertising engines, e-commerce transactions, multi-model API gateways or LLM proxies, multi-armed bandit or A/B testing frameworks, payment or billing systems, and operating systems with 99.9%+ SLA.
- Open-source contribution experience, including projects with 500+ GitHub stars, is a plus.
Benefits
- Competitive salary and a supportive, people-first culture.
- Global project exposure and learning opportunities.
- Inclusive workplace where every voice is valued.
- Work location is described as a great location, but no specific work arrangement or location is stated.