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
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
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