AI Blockchain Security Engineer

Embedding VC; San Francisco (CA); Vor Ort; USD 140.000 - 210.000; Vollzeit

Zusammenfassung

Embedding VC is seeking an AI Blockchain Security Engineer in the San Francisco Bay Area to build AI-driven systems for blockchain security research and threat detection. You will work at the intersection of AI agents, blockchain infrastructure, and offensive security to improve vulnerability discovery and incident response.

The role focuses on smart contract analysis, cross-chain transaction flows, and automated security tooling, collaborating with researchers and engineers to stay ahead of

Qualifikationen

• Degree in computer science, artificial intelligence, blockchain, or security.
• Experience in blockchain security, smart contract auditing, or vulnerability research.
• Familiarity with blockchain ecosystems, EVM internals, and transaction lifecycle analysis.
• Understanding of Web3 attack vectors including reentrancy, access control, signature replay, oracle manipulation, and cross-chain exploits.
• Knowledge of security practices such as vulnerability analysis, security monitoring, or exploit validation.
• Experience building AI workflows, retrieval systems, tool-calling agents, or LLM-powered security tools.

Aufgaben

• Build AI-assisted systems for smart contract security analysis and vulnerability detection.
• Research and develop AI agents to analyze smart contracts, protocol logic, and cross-chain flows.
• Create internal tooling for automated security investigation, exploit analysis, and threat detection.

Kenntnisse

blockchain security

smart contract auditing

vulnerability research

AI workflows

LLM-powered security tools

security monitoring

attack investigation

cross-chain analysis

Ausbildung

Bachelor's degree in CS/AI/Security

Jobbeschreibung

About the Role

We are hiring an AI Blockchain Security Engineer for a leading fintech company's security and AI team in the San Francisco Bay Area.

This role focuses on building AI-driven systems for blockchain security research, smart contract analysis, and onchain threat detection. You will work at the intersection of AI agents, blockchain infrastructure, and offensive security to improve automated vulnerability discovery and security investigation workflows across Web3 ecosystems.

Key Responsibilities

• Build AI-assisted systems for smart contract security analysis and vulnerability detection.

• Research and develop AI agents that analyze smart contracts, protocol logic, and cross-chain transaction flows.

• Build internal tooling for automated security investigation, exploit analysis, and threat detection across blockchain ecosystems.

• Improve AI reasoning over large codebases, protocol interactions, wallet activity, and complex execution flows.

• Collaborate with security researchers, protocol engineers, and infrastructure teams to strengthen security monitoring and incident response.

• Stay current with emerging blockchain attack techniques, AI security trends, and evolving Web3 infrastructure.
  

Requirements

• A degree in computer science, artificial intelligence, blockchain, or security.

• Experience in one or more of the following:

  • blockchain security

  • smart contract auditing

  • vulnerability research

• Familiarity with blockchain ecosystems, EVM internals, smart contract execution, and transaction lifecycle analysis.

• Understanding of common Web3 attack vectors, including:

  • reentrancy attacks

  • access control vulnerabilities

  • signature replay attacks

  • oracle manipulation attacks

  • cross-chain bridge exploits

• Familiarity with security practices such as vulnerability analysis, blockchain security monitoring, attack investigation, or exploit validation.

• Experience building AI workflows, retrieval systems, tool-calling agents, or LLM-powered security tools.

• A strong analytical mindset and a genuine interest in AI-driven security research and blockchain infrastructure.

Preferred

• Familiarity with blockchain-related cryptography: hashing, digital signatures, Merkle trees, MPC, or consensus mechanisms.

Work Setup

• Full-time, on-site in the San Francisco Bay Area.