💡 Hiring: Blockchain Security Expert Intern - AI Track - CertiK
📍 Remote / New York, New York | 🕐 Posted 19 hours ago - September 23, 2026 | 💰 USD 6,000-8,000 monthly (US-based target) | 🧑💻 Internship | 🔗 AI / LLMs / Python / Blockchain security
CertiK is seeking a Blockchain Security Expert Intern for its AI track to pioneer LLM-powered agents that enhance security audit tools. The internship focuses on designing, fine-tuning, and integrating AI agents that analyze smart contracts and identify vulnerabilities.
📋 Responsibilities include:
- Collaborate with the blockchain security team to design and implement 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 turning AI-agent research into practical, scalable security auditing solutions
- Research emerging trends in LLMs, AI agent architectures, and cybersecurity, and propose improvements
🔑 Requirements:
- Currently pursuing or recently completed a PhD in AI, Computer Science, or a related field, with emphasis on ML, NLP, and/or cybersecurity
- Deep understanding of LLM architectures (e.g. transformers) and hands-on experience training or fine-tuning such models
- Proficiency in Python and experience with PyTorch or TensorFlow
- Excellent analytical, problem-solving, and English communication skills
- Ability to thrive in a fast-paced startup environment
🛠 Nice-to-have:
- Basic familiarity with blockchain and smart contract development
- Prior work on AI agents or automated security analysis tools
- Exposure to blockchain/smart-contract audit methods
- Familiarity with Solidity and Ethereum
- Publications in AI, NLP, or cybersecurity
💡 Perks:
- Medical, vision, and dental insurance
- 401(k) with company matching
- Life and AD&D insurance, HSA, FSA
- Flexible PTO and holidays
📩 To apply: Apply: https://jobs.lever.co/certik/1f446b66-1fae-4c31-9352-cde86e254754 Original listing also notes a deadline of October 6, 2026.
🔗 Original post: https://lnkd.in/p/dGHUHB53
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