AI Platform Engineer

Description Join the Maxta engineering team to build production-grade AI infrastructure. You will work on MaxtaOS compute scheduling, MaxModel deployment pipelines, and LangGraph-based multi-agent systems for industrial AI applications. What You Will Do Build and optimize GPU resource management and scheduling algorithmsDevelop model packaging and deployment automation (MaxModel pipeline)Implement LangGraph multi-agent workflows for industrial AI (MaxPlant.ai)Integrate RAG systems with enterprise knowledge bases (RAGFlow, vector DBs)Write production-grade Python/Go services with comprehensive testingDeploy and optimize on edge hardware (NVIDIA Jetson AGX Thor) Requirements 4+ years in backend/infrastructure engineeringStrong Python skills; Go or Rust is a plusExperience with LLM frameworks (LangChain, LangGraph, or similar)Familiarity with RAG pipelines, vector databases (Qdrant, Milvus, FAISS)Experience with containerization and CI/CDUnderstanding of GPU computing basics Benefits Competitive salary + equityWork on real AI infrastructure, not chatbot wrappersDirect access to cutting-edge hardware (Jetson Thor, RTX PRO 6000)Flexible remote/hybrid optionsFull benefits package Apply for this Position Full Name * Email * Phone LinkedIn Profile Current Company Current Title Resume / CV * Drag & drop or click to upload PDF, DOC, DOCX — Max 10MB Cover Letter / Introduction Salary Expectation Earliest Start Date How did you hear about us? -- Select -- LinkedIn Maxta Website Employee Referral Job Board WeChat Other