Maxta Inc.
Job 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 algorithms Develop 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 testing Deploy and optimize on edge hardware (NVIDIA Jetson AGX Thor) Requirements 4+ years in backend/infrastructure engineering Strong Python skills; Go or Rust is a plus Experience with LLM frameworks (LangChain, LangGraph, or similar) Familiarity with RAG pipelines, vector databases (Qdrant, Milvus, FAISS) Experience with containerization and CI/CD Understanding of GPU computing basics Benefits Competitive salary + equity Work on real AI infrastructure, not chatbot wrappers Direct access to cutting-edge hardware (Jetson Thor, RTX PRO 6000) Flexible remote/hybrid options Full benefits package Position Details Department Engineering Location Silicon Valley, CA / Remote Type Hybrid Experience Mid-Senior Salary Range $140K – $200K + Equity Python Go LangGraph RAG CUDA Docker Kubernetes Vector DB LLM