AI Jobs in Web3

774 jobs found

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Job Position Company Posted Location Salary Tags

Lightblocks

Remote

$112k - $150k

Zscaler

Remote

$105k - $115k

Nethermind

Remote

$84k - $115k

Nethermind

Remote

$88k - $120k

Myshell

Remote

Genies

Remote

$45k - $63k

Genies

Remote

$96k - $120k

Nansen

Remote

$90k - $118k

Nansen

Remote

$105k - $108k

Aurosglobal

Remote

$122k - $159k

Coinbase

Remote

$152k - $179k

Flaunt

Remote

$150k - $200k

Figure

Reno, NV, United States

$176k - $220k

Alchemy

Remote

$98k - $112k

Synechron

Bengaluru, India

$103k - $117k

Lightblocks
$112k - $150k estimated
Remote
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About Us

eOracle is the first Ethereum-native oracle designed as a modular and programmable data layer secured by Ethereum and built with EigenLayer. It is the largest oracle network by stake ($12B+) and validators (130+) and offers decentralized applications native security with real-world connectivity and off-chain compute. The eOracle network, spawned from the innovative spirit of the Ethereum community and EigenLayer, will help usher in a new era of cryptoeconomically secure price feeds, eventually leading to a fully decentralized, permissionless and credibly neutral data and computation marketplace.

  We’re looking for a resourceful, fast-paced developer with a hacker mindset to design and build advanced AI agents. You’ll work with generative AI models, integrate APIs, optimize systems with ML, and automate workflows. Experience with image/video creation or social media automation is a plus. If you thrive on rapid prototyping, problem-solving, and delivering operational solutions fast—this might be perfect for you! Key Skills:

Proficient in Python Experience with AI frameworks (OpenAI, Hugging Face, LangChain, Llama) Deep understanding of LLMs, APIs, and automation tools Ability to adapt and deliver in high-speed, experimental environments

Join us if you’re eager to build “crazy, cool, and innovative” AI systems!

What an AI Developer does?

An AI developer is someone who creates and builds artificial intelligence systems

Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems

Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.