| 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 | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 |
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.