返回全部职位

    AI Infrastructure Engineer

    EngineeringRemote (US/Singapore Preferred)Full-time

    Build and optimize the systems that power Pokee's RL-trained AI agents—from scalable training pipelines to high-performance inference serving.

    关于该职位

    As an AI Infrastructure Engineer, you will build and optimize the systems that power Pokee’s RL-trained AI agents—from scalable training pipelines to high-performance inference serving across cloud and on-device deployments. You’ll ensure that our research breakthroughs translate into production infrastructure that enterprises can rely on.

    你将做什么

    • Design, build, and maintain scalable training and inference infrastructure for RL-based AI agent models
    • Optimize model serving for latency, throughput, and cost across cloud (AWS, GCP) and on-premise/on-device environments
    • Develop and manage CI/CD pipelines, experiment tracking, and model versioning systems
    • Implement efficient data pipelines for training data collection, preprocessing, and reward signal computation
    • Collaborate with research scientists to productionize new algorithms and model architectures
    • Ensure infrastructure meets enterprise requirements for reliability, security, and compliance (SOC 2, data residency)

    我们在寻找

    必填

    • 3+ years of experience in ML infrastructure, ML platform engineering, or a related systems role
    • Strong proficiency in Python and systems-level languages (Rust, C++, or Go)
    • Hands-on experience with ML serving frameworks (vLLM, TensorRT, Triton, ONNX Runtime, or similar)
    • Experience with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS or GCP)
    • Solid understanding of GPU computing, distributed systems, and performance profiling
    • Familiarity with ML experiment tracking and pipeline orchestration tools (MLflow, Weights & Biases, Airflow, or similar)

    加分项

    • Experience with on-device / edge inference optimization (GGUF quantization, TensorRT-LLM, CoreML, QNN)
    • Familiarity with on-premise GPU deployments (NVIDIA DGX, Dell PowerEdge, Lenovo ThinkStation)
    • Experience supporting RL training loops or online learning systems in production
    • Background in enterprise software with knowledge of security and compliance frameworks
    • Contributions to open-source ML infrastructure projects

    你是谁

    You want to join a small, elite team solving one of the hardest problems in AI—building agents that actually work in the real world. You’ll have direct impact on the product, access to cutting-edge research, and the opportunity to shape the future of enterprise AI from the ground up.

    申请 AI Infrastructure Engineer

    准备好加入了吗?填写下方表单即可申请。

    你从哪里得知这个机会?(可多选)
    在 LinkedIn 上关注
    Pokee Logo

    Pokee AI

    企业级 AI 智能体,部署在你自己的基础设施中。

    解决方案

    金融医疗健康电商法务教育制造业科技

    公司

    招聘安全联系我们

    关注我们

    TwitterLinkedInRedditDiscord

    资源

    API 文档

    法律

    服务条款隐私政策无障碍系统状态

    © 2026 Pokee AI。保留所有权利。

    条款与条件隐私政策