AI Engineer LinkedIn profile for San Francisco

If you are applying for AI Engineer roles in San Francisco, the hard part is not finding one listing. The hard part is making each application look specific enough to pass the recruiter screen and the ATS scan.

469 live listings right now.

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Career guide · LinkedIn

Live AI Engineer jobs in San Francisco

469 open listings match AI Engineer in San Francisco right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest AI Engineer listings in San Francisco, and how many listings use each.
  1. applied33 posts
  2. software50 posts
  3. staff28 posts
  4. doesn8 posts
  5. know9 posts
  6. infrastructure25 posts
  7. agents19 posts
  8. agent14 posts
  9. generative11 posts
  10. building32 posts
  11. forward deployed8 posts
  12. share9 posts
  13. systems31 posts
  14. developers14 posts
  15. platform34 posts
  16. ml13 posts
  17. machine learning9 posts
  18. voice8 posts
  19. model13 posts
  20. engineering23 posts

Who's hiring

Employers with the most open AI Engineer listings in San Francisco.
  1. Openai29 open jobs
  2. Scale AI29 open jobs
  3. Together AI29 open jobs
  4. Google18 open jobs
  5. Fal Ai12 open jobs
  6. Clera11 open jobs
  7. Happyrobot Ai9 open jobs
  8. Capital One8 open jobs
  9. Anthropic7 open jobs
  10. Airwallex6 open jobs

Advertised pay

From listings that state pay. Many don't, so treat it as a range, not a promise.

$100,000 to $555,000 a year, median $236,000.

What recruiters search first in San Francisco

Recruiters scan for role fit, recent proof, and keywords. For AI Engineer, your resume should show the tools you used, the problem you solved, and the result. A vague project line does not help. A specific line with numbers, users, revenue, cost, speed, quality, or risk reduction works much better.

Check this before sending another application.

  • Headline
  • Search terms
  • Proof
  • Put the exact job title and adjacent titles in your summary.
  • Mirror the top skills from the job description naturally.
  • Use 3 to 5 achievement bullets that show measurable outcomes.
  • Keep formatting simple so ATS software can parse every section.

Resume keywords for AI Engineer

Do not stuff keywords. Put them where they belong: skills, project bullets, work experience, and certifications. For AI Engineer jobs in San Francisco, start with these clusters.

Core skills

role-specific tools, workflows, and delivery methods

Business impact

cost, revenue, speed, quality, risk, retention, or conversion

Collaboration

stakeholders, product, engineering, sales, security, or operations

Proof

portfolio links, shipped work, dashboards, case studies, or GitHub

A practical application plan

Tune your headline, about section, skills, and featured proof so recruiters can find the profile before you apply.
  1. Pick 10 active AI Engineer listings in San Francisco and save the job descriptions.
  2. Group repeated skills and phrases. Those are your ATS keywords.
  3. Rewrite your resume summary for this exact market and role.
  4. Run the resume and JD through the JobRise ATS checker.
  5. Only apply after your resume clearly matches the must-have requirements.

More AI Engineer guides for San Francisco

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Before you apply

Paste the job description into JobRise, check the ATS score, then fix the missing keywords before you send the application. One focused application beats ten generic ones.
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