腾讯云-MaaS高级后台研发工程师
Core
Design and implement the full-stack system for Tencent Cloud MaaS, covering model hosting, online inference, fine-tuning, data preprocessing, prompt engineering, and security auditing.
Role type
Senior IC backend engineer (MaaS platform)
Builds
MaaS product API gateway, SDKs, control consoles, task scheduling systems, monitoring/alerting, and billing modules.
Domain
Cloud computing + Large Language Model (LLM) engineering
Deliverable
production ML models
Required skills
Golang/Java/Python, high-concurrency distributed systems, cloud-native stack (K8s, Docker, microservices, RPC/HTTP, message queues, databases, caching), LLM full-stack knowledge (training, fine-tuning, RAG, inference engines, quantization, distillation, vector databases), AI infrastructure (GPU optimization, heterogeneous compute management, distributed task scheduling, performance tuning)
Preferred skills
Cloud vendor or middleware R&D experience, MaaS/LLM inference service development, large-scale model service operations, AI security compliance and content auditing, enterprise private deployment, high-security scenarios (finance/government)
Responsibilities
Develop core MaaS platform modules ensuring high availability and scalability; Collaborate with algorithm and product teams to adapt models and optimize performance; Track industry trends in LLM engineering and cloud-native technologies to improve architecture and efficiency.
Seniority
Senior, hands-on IC
