AI Platform Engineer

Role overview Build and improve the infrastructure that runs AI workloads, from GPU scheduling and model deployment to multi-agent applications for industrial use. The work spans backend services, retrieval systems, and deployment on edge hardware, with a focus on production readiness.

Responsibilities - Design and optimize GPU resource management and scheduling. - Build automation for packaging and deploying models. - Develop multi-agent workflows for industrial applications. - Connect retrieval-augmented generation systems to enterprise knowledge bases and vector databases. - Write and test production services, primarily in Python or Go. - Deploy and tune workloads on edge devices.

Requirements - At least 4 years of backend or infrastructure engineering experience. - Strong Python skills; experience with Go or Rust is useful. - Experience with an LLM framework such as LangChain or LangGraph. - Familiarity with retrieval-augmented generation and vector databases. - Knowledge of GPU computing, containers, and orchestration tools is relevant to the role.

Benefits and work setup - Hybrid or remote work, based in or associated with Silicon Valley, California. - Mid-to-senior level position. - Listed compensation: $140,000–$200,000 plus equity.