NodeAINodeAI

Full Stack AI Blockchain Systems Engineer

engineering
Remote
full-time

Overview

This role is responsible for the development, deployment, and management of a decentralized AI and GPU-sharing platform. The ideal candidate will combine expertise in AI, blockchain technology, and systems infrastructure to drive the implementation and scalability of the platform.

Responsibilities

  • Design and develop a Layer 1 blockchain infrastructure specifically optimized for task distribution in decentralized environments.
  • Design, implement, and maintain AI services using popular frameworks such as TensorFlow, PyTorch, Caffe2, and MXNet.
  • Develop blockchain components, focusing on smart contracts and decentralized applications (DApps) integration.
  • Manage cloud-based and on-premise GPU nodes, including deployment, scaling, and monitoring.
  • Ensure system reliability and scalability through effective DevOps practices, including CI/CD pipelines, containerization, and orchestration.
  • Optimize GPU computing resources and implement monitoring systems to track performance and system health.
  • Collaborate with product teams to define and refine system architecture, ensuring seamless integration across AI and blockchain components.

The Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong proficiency in machine learning, deep learning frameworks, and blockchain technologies.
  • Extensive experience with server management and cloud platforms (AWS, Azure, Google Cloud).
  • Proficient in containerization and orchestration tools (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible).
  • Excellent coding skills in Python, C++, Solidity, or other relevant programming languages.
  • Demonstrated capability in managing full lifecycle software development and system deployment.
  • Excellent analytical, problem-solving skills, and the ability to work collaboratively in a fast-paced environment.

Valued Skills

  • Certifications in cloud architecture, Kubernetes, or blockchain technologies are a plus.
  • Previous experience in a startup environment and familiarity with agile methodologies.
  • Strong communication skills and the capacity to lead projects or small teams.

Apply for this position

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