Summary

We’re looking ​for ​an ​experienced Backend ​Engineer – Recommendation Systems ​to ​grow with ​us. In this ​role, you ​will ​design, develop, ​and ​operate ​recommendation system backends ​for ​next-generation AI-powered financial ​retail ​and ​media services.

[Key Responsibilities]

• Design, ​develop, and ​operate ​recommendation systems ​for AI-driven ​new ​business services.
• Optimize multimodal ​model inference ​for latency, memory usage, and cost efficiency, and integrate these optimizations into recommendation systems.
• Improve and scale architecture and infrastructure to support large-scale user traffic, considering scalability and load balancing.

[Required Qualifications]

• 5+ years of backend engineering experience.
• Strong familiarity with the full lifecycle of recommendation system development.
• Hands-on experience designing and operating large-scale ML serving architectures (e.g., Kubernetes, Docker, Ray Serve).
• Ability to independently evaluate trade-offs, make decisions, and execute effectively.

[Preferred Qualifications]

• Proven experience delivering measurable business impact through ML-based production services.
• Experience with LLM inference optimization technologies such as Flash Attention, Quantization, and TensorRT.
• Experience managing SLAs and optimizing latency/throughput for financial services.
• Experience with MLOps and observability tools such as Datadog, Prometheus, and Grafana.
• Deep expertise and hands-on experience in at least one or more of the following recommendation system components:
• Data ingestion and logging pipelines
• Feature store infrastructure operations and management
• Model serving infrastructure operations and management
• Real-time recommendation retrieval systems
• Ranking and post-processing engines
• A/B testing and experimentation platforms
• Monitoring and operational automation

[Global Hiring Notice]

This position is open to global candidates. Work arrangements, employment terms, and requirements may be adapted according to local conditions and applicable regulations.

[Required Application Materials]

• Resume (no specific format required)
• (Optional) Links to GitHub, technical blog, or portfolio.

Contact: HR Team – [email protected]

[Notes]

• Any falsified information found in the submitted materials or during the hiring process may result in cancellation of employment.
• To ensure smooth recruitment, simultaneous applications for multiple positions are not allowed. Please apply carefully.
• Recruitment is on a rolling basis and may close early once a successful candidate is selected.
• Interviews are typically one-on-one or panel-style and last up to one hour.