Your Free CVCreate my CV — free

AI Engineer CV example

Recruiters scan for shipped AI features, model/LLM work, and measurable impact — not just notebooks.

Sample professional summary

AI engineer who shipped an LLM-powered support assistant cutting handle time 35%, with RAG, eval harnesses, and cost controls in production.

Key skills recruiters look for

  • Python
  • PyTorch
  • LLMs / RAG
  • Vector DBs
  • MLOps
  • AWS/GCP

How to write strong bullet points

  • Lead with shipped AI features and their business metric.
  • Quantify accuracy, latency, and cost-per-request.
  • Name models/frameworks only when relevant to the role.

AI Engineer career path & typical salary

How the role typically progresses, with the kind of responsibilities and approximate US base-salary range at each stage.

Junior AI Engineer$95k–$135k

0–2 yrs

Builds prompts, RAG pipelines and evals on defined problems; integrates model APIs under guidance.

AI Engineer$135k–$185k

2–5 yrs

Owns AI features end to end: data, retrieval, evaluation, cost and latency in production.

Senior AI Engineer$185k–$250k

5–8 yrs

Leads AI architecture for a product, sets eval and safety standards, and mentors.

Staff / Principal AI Engineer$240k–$350k+

8+ yrs

Drives AI strategy and the hardest modeling/serving problems across teams.

AI/ML Manager (alt. track)$230k–$340k+

8+ yrs

Leads an AI team's roadmap, hiring and delivery; trades hands-on work for leadership.

Salary figures are approximate US market estimates for general guidance only. Actual pay varies widely by location, industry, employer, education and negotiation.

Common AI Engineer interview questions

Practice structured answers (situation, action, measurable result) — the same achievements belong on your CV.

  • Walk me through an AI feature you shipped: data, retrieval, eval and cost.
  • How do you evaluate an LLM feature when there's no clean ground truth?
  • Your model is accurate offline but users complain — how do you debug it?
  • How do you control latency and cost-per-request in production?
  • When do you fine-tune vs. use RAG vs. prompt-engineer? Trade-offs?
  • How do you guard against hallucination, prompt injection and data leakage?

Build your AI Engineer CV now

Use a clean, ATS-friendly template and a live preview that matches your downloaded PDF exactly. It's 100% free — no signup, no watermark, no payment.

Create my AI Engineer CV — free

More CV examples

Build your AI Engineer CV now

No signup, no watermark, no payment. Choose a design and your editor opens with it ready to go.