AI Engineer Job at Eidon AI, Austin, TX

  • Eidon AI
  • Austin, TX

Job Description

Location: Bay Area candidates are also welcome

About Eidon AI

We are a team of AI & Crypto researchers and engineers (coming from Google DeepMind, top10 Hedge Funds, pioneering AI/Crypto companies) with the long term mission of co-creating the full decentralised AI stack in a trustless and permissionless way, with fair rewards for participation and contribution, that advances and benefits all of humanity. Our first focus is on decentralising AI Data Availability and Data Restaking by connecting AI data publishers with data consumers in a decentralised network and marketplace. 

Our team is small, operating in a flat structure, highly motivated, and focused on engineering excellence. Eidon is a place for those who like to take ownership, have strong curiosity & do-it energy, appreciate challenging themselves and are ready to work in the intersection of multiple knowledge areas. All engineers and researchers share the title "Member of the Technical Guild."

All employees are expected to be hands-on and to contribute directly to the mission of advancing decentralised AI. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritisation skills are important. We don't spend time with powerpoints and sitting long in meeting rooms. 

All engineers and researchers are expected to have strong skills of listening and communicating with clarity and respect. Sharing knowledge openly, concisely and accurately with teammates. 

Eidon AI does not have recruiters, PMs or other “people/policy/patrolling” staff. Every application is reviewed directly by a technical member of the team. 

We are funded by top tier VCs from the Valley.

Job Description

Join Eidon AI as an AI Engineer to push the boundaries of AI through decentralised networks. You will develop AI agents, RAG systems, researching new decentralised AI models and architectures that leverage our unique data ecosystem, driving advancements in AI research and applications while ensuring fairness and accessibility for all participants.


  • Design, develop, and deploy AI models and algorithms within a decentralised data environment.
  • 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 decentralised AI research environment.

Requirements (from base to ideal/plus)

  • 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 finetuning a variety of smaller specialised models.
  • Creating AI Agents
  • Creating advanced and high performance RAG systems and adapt them in a distributed environment
  • Mastering all data modalities: text, audio, images, video, realtime and real world data etc
  • Profiling, debugging, and optimising (multi-host) GPU utilisation.
  • 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 decentralised 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 decentralised technologies that could be utilised in decentralised AI.

Can be also located in the Bay Area.

Job Tags

Full time,

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