Writing a Technical Resume for AI & Web3 Jobs That Gets Interviews
Your resume has 6 seconds to make an impression — and it also needs to pass AI screening systems. Here's how to write one that beats both filters.
Lisa Wang
Recruitment Strategist
Writing a Technical Resume for AI & Web3 Jobs That Gets Interviews
Recruiters spend an average of 6.2 seconds on initial resume screening. AI-powered applicant tracking systems (ATS) spend even less. Your resume needs to work for both audiences.
The ATS Problem
Over 90% of large companies use ATS software to filter resumes. If your resume isn't optimized for these systems, a human may never see it.
What ATS Systems Look For
- Keyword matching — Skills and tools mentioned in the job description
- Standard formatting — No tables, columns, or graphics that confuse parsers
- Clear section headers — "Experience," "Education," "Skills" (not creative alternatives)
- File format — PDF is safest (some ATS struggle with .docx)
Resume Structure for AI/Web3 Roles
1. Header - Name, location (city, country), email, LinkedIn, GitHub - Optional: Personal website, ENS name (.eth)
2. Professional Summary (2-3 lines)
Bad: "Passionate developer looking for opportunities in blockchain."
Good: "Smart contract engineer with 3 years building DeFi protocols. Shipped contracts handling $50M+ TVL. Expertise in Solidity, Foundry, and security auditing. Previously at [Company]."
3. Skills Section
Organize by category: - Languages: Solidity, Rust, TypeScript, Python - Frameworks: Foundry, Hardhat, React, Next.js - Blockchain: Ethereum, Solana, L2s (Arbitrum, Optimism) - AI/ML: PyTorch, LangChain, RAG, Fine-tuning
4. Experience (Most Important)
Use the STAR+Impact format:
| Component | Example |
|---|---|
| Situation | "Led development of a lending protocol" |
| Task | "Needed to handle $20M in collateral securely" |
| Action | "Designed liquidation engine with Chainlink oracles" |
| Result | "Zero exploits in 18 months, 99.9% uptime" |
| Impact | "Protocol grew to $50M TVL" |
5. Projects (Critical for Web3)
For each project: - Name and one-line description - Tech stack used - Link to live demo and/or GitHub - Key metric or achievement
6. Education - Keep brief unless you're a recent graduate - Relevant certifications (AWS, Chainlink, etc.)
Common Mistakes
- Listing every technology you've ever touched — Focus on what's relevant to the role
- No quantifiable results — "Improved performance" vs. "Reduced gas costs by 40%"
- Multi-page resumes for <10 years experience — One page is ideal
- Generic resume for every application — Customize skills section per role
- Spelling mistakes — Instant disqualification at most companies
AI-Specific Tips
- Mention specific models you've worked with (GPT-4, Llama, Mistral)
- Quantify model performance (accuracy, latency, cost savings)
- Include deployment experience (not just notebook work)
- Mention MLOps tools (MLflow, W&B, Kubeflow)
Web3-Specific Tips
- Link to deployed contracts (Etherscan/Solscan)
- Mention audit experience (both performing and receiving audits)
- Include TVL or transaction volume metrics
- Reference security measures implemented
"The resumes that get my attention immediately are the ones where every bullet point has a number. '$50M TVL,' '40% gas reduction,' '99.9% uptime.' Numbers tell me you think about impact, not just activity." — Hiring manager at a top DeFi protocol
FAQ
Frequently Asked Questions
Should I include a photo on my resume?
How do I handle employment gaps?
Ready to Take the Next Step?
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