Decentralized AI Systems Developer

2 days ago

Austin Texas, United States Eidon AI Full time
About the Role

Eidon AI is seeking a highly skilled AI Software Engineer to join our team and contribute to the development of decentralized AI systems. As an AI Software Engineer, you will play a key role in designing, developing, and deploying AI models and algorithms within a decentralized data environment.

Key Responsibilities
  • Design and develop AI models and algorithms for decentralized data environments
  • Collaborate with Data Engineers to ensure optimal data processing and model training pipelines
  • Research and implement state-of-the-art AI techniques to solve complex problems in data availability and distribution
  • Develop AI Agents for data manipulation and advanced RAG systems
  • Work closely with the community to share insights, models, and advancements, fostering an open, collaborative, and decentralized AI research environment
Requirements
  • Engineering or Science background (e.g., CS, CE, or EE degree or equivalent experience)
  • Strong background in machine learning, deep learning, and AI model development
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, JAX) and programming languages such as Python
  • Training large neural networks at scale, as well as fine-tuning a variety of smaller specialized models
  • Creating AI Agents
  • Creating advanced and high-performance RAG systems and adapting them in a distributed environment
  • Mastering all data modalities: text, audio, images, video, real-time, and real-world data, etc.
  • Profiling, debugging, and optimizing (multi-host) GPU utilization
  • Rapidly implementing the latest state-of-the-art methods from the deep learning literature
  • Inventing new algorithms and methods that bring us closer to developing decentralized AI systems
  • Building distributed training systems for AI models
  • Configuring and troubleshooting hardware and operating systems for maximum performance
  • Working with JAX/XLA for multi-host training
  • Writing custom CUDA kernels in either C++ or via Triton
  • Digging into third-party source code for debugging and customization
  • Knowledge of blockchain and decentralized technologies that could be utilized in decentralized AI
What We Offer
  • A dynamic and collaborative work environment
  • The opportunity to work on cutting-edge decentralized AI projects
  • A competitive salary and benefits package
  • The chance to contribute to the development of a revolutionary new technology

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