Last updated: June 1, 2026
Sample resumes for AI Engineers at junior, mid‑level, and senior tiers. Each version highlights relevant projects, tools, and achievements while staying concise and ATS‑friendly.
Jakarta, Indonesia
Enthusiastic recent graduate with hands‑on experience building simple machine‑learning pipelines and chat‑bots. Passionate about turning data into actionable insights and eager to grow within a remote‑first AI team.
Machine Learning Intern
NeuraTech Labs · Remote
Jun 2023 – Aug 2023
Project Lead
Campus AI Club · Bandung, Indonesia
Sep 2022 – May 2023
B.Sc. Computer Science
Institut Teknologi Bandung · Bandung, Indonesia
GPA: 3.78/4.00
2020 – 2024
Clear technical focus
The resume spotlights concrete ML projects and the tools used, which quickly signals relevance to hiring managers.
Quantified impact
Including percentages and scores helps the ATS and recruiters gauge contribution.
Add a certifications line
Listing Coursera or Udacity AI certificates can boost credibility for entry‑level candidates.
Shorten summary
Keep the professional summary under 3 sentences to maintain skimmability.
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Yogyakarta, Indonesia (Remote)
Seasoned AI Engineer with 4 years of experience designing production‑grade recommendation engines and NLP services. Adept at scaling models on cloud platforms and collaborating across distributed teams.
AI Engineer
SmartCommerce Co. · Remote
Jan 2022 – Present
Machine Learning Engineer
DataPulse Analytics · Jakarta, Indonesia
Jul 2020 – Dec 2021
M.Sc. Artificial Intelligence
University of Indonesia · Jakarta, Indonesia
2018 – 2020
Shows end‑to‑end ownership
From data pipelines to model deployment, the experience entries illustrate full‑stack AI delivery.
Highlights leadership
Mentoring and process improvements demonstrate readiness for senior responsibilities.
Condense bullet length
Trim each bullet to one primary achievement for faster scanning.
Add business metrics
Where possible, tie technical work to revenue or cost‑saving numbers.
Bali, Indonesia (Remote)
Strategic AI leader with 8 + years of experience driving large‑scale vision, language, and reinforcement‑learning projects. Proven track record of building cross‑functional teams, delivering revenue‑impacting models, and influencing product roadmaps.
Head of AI Engineering
GlobalFinTech Ltd. · Remote
Mar 2019 – Present
AI Solutions Architect
InnovateAI Startup · Bangalore, India
May 2015 – Feb 2019
Ph.D. Computer Science (Artificial Intelligence)
Stanford University · Stanford, CA, USA
Dissertation: Scalable Deep Reinforcement Learning for Real‑Time Decision Making
2011 – 2015
Executive‑level storytelling
Each bullet ties technical work to high‑impact business outcomes, ideal for senior hiring panels.
Strong academic pedigree
Including a Ph.D. and patents signals deep expertise.
Trim older roles
For senior resumes, keep early‑career items concise or omit them entirely.
Add publications list
A short “Selected Publications” line can further validate research credentials.
FirstLast_AIEngineer_Resume.pdf.No. List the languages that are most relevant to the role and that you can demonstrate proficiency with. Over‑listing can dilute the impact of your core skills.
For junior resumes, 1–2 projects suffice. Mid‑level candidates should showcase 2–3 key initiatives, while senior profiles can focus on 2 strategic programs with measurable business outcomes.
Absolutely for senior or research‑focused positions. Include a short “Selected Publications” line with titles and conference names.
Yes, especially if you hold recognized AI credentials (e.g., TensorFlow Developer, AWS Machine Learning Specialty). Place it after the Skills list.
Indicate “Remote” in the location field for each role and highlight collaboration tools you used (Slack, GitHub, Jira, Miro).