AI Jobs in Web3

1,509 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of AI Jobs in Web3
Job Position Company Posted Location Salary Tags

Edison Smart®

San Francisco, CA, United States

$90k - $150k

Crypto.com

Singapore, Singapore

$117k - $150k

Zscaler

Remote

$112k - $154k

Okx

Remote

$129k - $216k

Okx

Remote

$96k - $111k

Okx

Remote

$54k - $62k

Gsrmarkets

Remote

$103k - $112k

Grayscaleinvestments

Remote

$120k - $150k

Kraken

United States

$110k - $220k

Kronosresearch

Remote

$121k - $125k

ByLabs

San Francisco, CA, United States

$90k - $150k

Tether Operations Limited

ZH Zürich CH

$90k - $125k

ByLabs

San Francisco, CA, United States

$100k - $109k

Confidential

San Francisco, CA, United States

$90k - $150k

PreSales Collective

United States

$112k - $150k

Edison Smart®
$90k - $150k estimated
San Francisco Bay Area US

AI & Blockchain Security Engineer

Hybrid (Bay Area)


About the Opportunity

We're partnering with an innovative technology company operating at the intersection of artificial intelligence, blockchain infrastructure, and cybersecurity.


As an AI & Blockchain Security Engineer, you'll help build next-generation security tooling that leverages AI to identify vulnerabilities, investigate threats, and improve security across modern blockchain ecosystems. This is a highly technical role suited to engineers who enjoy solving complex security challenges and pushing the boundaries of automation and AI-driven research.


What You'll Be Doing

  • Design and develop AI-powered security tools for blockchain and smart contract analysis.
  • Build intelligent systems capable of identifying vulnerabilities and security weaknesses across decentralized applications and protocols.
  • Develop automated workflows for threat detection, exploit investigation, and security monitoring.
  • Improve AI reasoning and analysis capabilities across large codebases, transaction flows, and blockchain activity.
  • Work closely with security researchers, engineers, and infrastructure teams to strengthen security operations and incident response processes.
  • Research emerging attack techniques, blockchain security trends, and advancements in AI-assisted security technologies.

What We're Looking For

Essential

  • Degree in Computer Science, Cybersecurity, Artificial Intelligence, Blockchain, or a related field.
  • Hands-on experience in one or more of the following:
  • Blockchain Security
  • Smart Contract Auditing
  • Vulnerability Research
  • Offensive Security
  • Strong understanding of blockchain architecture, smart contract execution, and transaction analysis.
  • Knowledge of common Web3 security vulnerabilities and attack vectors.
  • Experience with security investigations, exploit analysis, threat detection, or vulnerability assessment.
  • Strong analytical and problem-solving skills.
  • Passion for emerging technologies, AI, and blockchain security.

Nice to Have

  • Experience building AI agents, LLM-powered applications, security copilots, or automated research tools.
  • Understanding of cryptographic concepts including digital signatures, hashing, Merkle Trees, MPC, consensus mechanisms, or zero-knowledge technologies.
  • Familiarity with EVM internals, DeFi protocols, cross-chain ecosystems, or blockchain infrastructure.

Why Join?

  • Work on cutting-edge AI and blockchain security challenges.
  • Collaborate with highly technical security researchers and engineers.
  • Opportunity to influence the future of AI-assisted cybersecurity.
  • Fast-paced environment with significant scope for innovation and ownership.
  • Exposure to some of the most advanced security problems in the Web3 ecosystem.

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.