Blockchain Security Expert - AI Track
Remote United States Full-time Mid-level Software Engineering
At a glance
Mid-level Software Engineering role at CertiK. Remote, United States · full-time · $120,000–$180,000 base.
SalaryStated by CertiK
$120,000 – $180,000
Base salary for this role, in USD per year, as published in the posting.
RoleSoftware Engineering
SeniorityMid-level
LocationUnited States
WorkplaceRemote
EmploymentFull-time
Base pay$120,000–$180,000
PostedJul 30, 2025 · 1y ago
Role brief
techroles summary, based on the employer's posting.
What you'll do
- Build an LLM-powered agent with blockchain security specialists to support smart-contract audits
- Test AI approaches that improve vulnerability detection and risk assessment in blockchain systems
- Turn AI-agent research into practical, scalable tools for security audits
- Track new work in LLMs, agent designs, and cybersecurity, then suggest ways to improve the tools
What you bring
- A bachelor’s degree or higher, preferably in a science or engineering discipline
- At least two years of experience in security or software development
- Working familiarity with blockchain, smart contracts, and agentic coding tools such as Cursor, Windsurf, or Cline
Who this fits
This remote US role suits someone interested in combining blockchain security work with LLM-agent research and development. You’ll collaborate with a blockchain security team; US work eligibility must be verified upon hire.
From the employer
About the Company
CertiK is the largest blockchain security auditor and provides a comprehensive suite of tools to secure the industry at scale. To date, CertiK has worked with over 4,900 Enterprise clients, secured over $557 billion worth of digital assets, and has detected over 18,000 vulnerabilities in blockchain code. Our clients include leading projects such as OKX, Tether, Ripple, and Pancakeswap. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.
Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors.
About the Role
The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert on the AI Track, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to developing, testing, and optimizing LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures.
Responsibilities
- Collaborate with our blockchain security team to develop an LLM-based AI agent for security audit tools.
- Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments.
- Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions.
- Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements.
Requirements
- A bachelor’s degree (or higher), preferably in a science or engineering field.
- 2+ years of security or software development experience.
- Familiar with blockchain and smart contract technologies.
- Familiar with agentic coding tools, such as Cursor, Windsurf, Cline, etc.
- Strong and creative problem-solving skills; always willing to learn and embrace new technologies, and to collaborate.
Preferred Qualifications
- Prior research or project experience in developing AI agents or automated security analysis tools.
- Demonstrated ability to translate research insights into effective, production-ready tools.
- Prior knowledge of web3 security audits.
- Hands-on blockchain experience, such as evaluating risks for blockchain projects or analyzing on-chain security events.