Recruiters now search with AI agents. How senior tech professionals can make sure they get found

Juan Molina · October 20, 2026

LinkedIn's new hiring agent ranks candidates on signals like verification, relevant experience and demonstrated expertise. Five practical steps to make your profile readable by humans and machines.

If you're a senior tech professional, the first "person" to review your profile for your next role may not be a person at all.

On September 29, LinkedIn announced Hiring Assistant 2, the next version of its AI agent for recruiters (LinkedIn, September 29, 2026). According to LinkedIn:

• More than 20,000 companies used its agentic hiring tools in their first year, including AMD, Cisco and Zillow.
• Recruiters are 4x more likely to contact candidates sourced by the assistant than candidates found through traditional methods.
• Recruiters review 83% fewer profiles to find qualified matches.
• The new version reaches English-language customers for free starting in November.

The last point is the one to notice. When a recruiter reviews 83% fewer profiles, the profiles they never see matter as much as the ones they do. Being visible to the agent is becoming part of being visible at all.

What the agent looks at

LinkedIn says Hiring Assistant 2 brings together signals including (LinkedIn):

• whether the candidate is verified;
• relevant work experience;
• expertise shown through connected apps on a member's profile;
• applicant tracking system insights and pre-screening answers, when you apply.

LinkedIn doesn't publish how it weighs these signals, and no one outside the company knows exactly. But the list is a clear guide to what's worth fixing on your profile.

5 steps to make your profile work for humans and machines

1. Verify your profile. Verification is the first signal on LinkedIn's list. It takes a few minutes and tells both the agent and the human recruiter that you are who you say you are. With AI-driven job scams on the rise, that trust matters on both sides.

2. Describe your experience in plain, specific language. An AI agent matches what a role needs with what your profile says. "Led platform migration to Kubernetes for a 40-person engineering org" says far more than "Senior engineer, various projects." Write each role as what you owned, what you built and what changed. Use the real names of technologies, team sizes and scope, but only what's true.

3. Show your expertise, don't just claim it. LinkedIn lists expertise shown through connected apps as a signal. Connect what you can, and use the Featured section for real evidence: a talk, a write-up, a project or a public repository. Proof beats adjectives, for agents and for people.

4. Align your headline with the role you want next. Your headline is the shortest summary of what you do. If you want a VP Engineering role, a headline that says only "Software Engineer at X" works against you. Describe the level and scope you're ready for, truthfully.

5. Keep it current and consistent. An outdated profile looks like an inactive candidate. Make sure your dates, titles and skills match your CV. Inconsistencies are exactly what both recruiters and screening tools are learning to flag.

What doesn't change

None of this replaces a strong career story. An AI agent can surface your profile, but a person still decides whether to call you, interview you and hire you. The goal isn't to game a machine. It's to make sure the truth about your experience is easy to find and easy to trust.

If you'd like a second pair of eyes on how your CV and LinkedIn read to recruiters and their tools, that's what the CV + LinkedIn Diagnostic is for. It's a review of your documents, clearly priced, and never a promise of a job.

You can also post your profile for free, so companies hiring tech leaders can find you.