Software Engineering Intern - AI Enablement (Fall 2026)

Mercury • Portland, OR

5h • $55 - $55 • Remote

About The Position

It’s 1813 and Humphrey Davy is dazzling London with scientific demonstrations and lectures. Soon enters the young bookbinder, Michael Faraday, dissatisfied with his own prospects and enamored by the mysteries of electricity. Faraday gets a break and gains an apprenticeship with Davy, and shortly thereafter (partially) blows himself and Davy up in a nitrogen trichloride explosion.
We think Davy’s sacrifice was worth it, though, since Faraday went on to do experimental work in the field of electromagnetism that is foundational to innumerable modern technologies. While we can’t promise you’ll become the next Faraday, we can promise you won’t be asked to deal with explosives on the job.
Instead, you’ll be receiving mentorship from experienced engineers, writing TypeScript and/or Haskell code, and contributing to a product that serves over 100,000 businesses. Check out demo.mercury.com to see our product for yourself.
All Engineering Interns, regardless of the specific role, should:
Be interested in continually honing their craft.
Have curiosity and be willing to share their perspective.
Appreciate quality in their work and that of others.
Communicate well, and be able to write clear explanations of their reasoning for technical decisions.
As an Engineering Intern focused on AI Enablement you will:
Research and translate emerging AI findings (e.g., on skill formation, human-AI collaboration, and agentic systems) into practical recommendations for engineering teams.
Design, prototype, and iterate on resources, experiments, or workflows that help teams effectively and responsibly integrate AI into their day-to-day work.
Build or improve the infrastructure that supports AI usage, including integrating AI service providers, enabling agentic workflows, and strengthening reliability, observability, and cost efficiency.
Analyze AI usage patterns, developer behavior, and system performance to generate insights and inform tooling or training improvements.
Partner cross-functionally to scale AI capabilities across engineering.
This is a paid full-time remote summer internship for 12-16 weeks between September and December. Our internship program is intended for individuals enrolled in an academic program (undergraduate, graduate, etc.). Individuals interested but not enrolled in an academic program at this time are encouraged to apply to any of our full-time openings.
In terms of compensation, the hourly rate for candidates based in the US is $55. The hourly rate for candidates based in Canada is CAD 55.
Applications close on March 6, 2026. Please apply only to the single intern position that best aligns with your qualifications and interests.
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.
[Please see the independent bias audit report covering our use of Covey for more information.]
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Requirements

• Be interested in continually honing their craft.
• Have curiosity and be willing to share their perspective.
• Appreciate quality in their work and that of others.
• Communicate well, and be able to write clear explanations of their reasoning for technical decisions.

Responsibilities

• Research and translate emerging AI findings (e.g., on skill formation, human-AI collaboration, and agentic systems) into practical recommendations for engineering teams.
• Design, prototype, and iterate on resources, experiments, or workflows that help teams effectively and responsibly integrate AI into their day-to-day work.
• Build or improve the infrastructure that supports AI usage, including integrating AI service providers, enabling agentic workflows, and strengthening reliability, observability, and cost efficiency.
• Analyze AI usage patterns, developer behavior, and system performance to generate insights and inform tooling or training improvements.
• Partner cross-functionally to scale AI capabilities across engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed