Associate AI Engineer

Want to get dangerously good at AI automation before everyone else catches up? As our AI Automation Associate, you’ll get a front-row, hands-on education in how a fast-growing health brand identifies repetitive work, builds practical AI systems, and turns cutting-edge technology into real operational leverage.

You won’t just “play around with ChatGPT.”

You’ll work on real automation projects that save time, reduce manual work, improve workflows, and help teams across the company operate faster and smarter.

In this once-in-a-lifetime opportunity, you’ll learn how to:

• Identify high-impact automation opportunities across a business.
• Build practical AI agents using low-code and no-code tools.
• Improve workflows with prompt engineering and AI systems.
• Translate business problems into working AI solutions.
• Evaluate AI tools based on ROI, not hype.
• Help shape the future AI strategy of a growing company.

This isn’t just a “sit in meetings and take notes” internship. If you’ve got the chops, it’s a launchpad into a lifetime of success.

This job will give you ALL the feels

At AlgaeCal, we’re driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density. The good news? AlgaeCal has the world’s only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you’ll find no better place to continue your career than at AlgaeCal.

What you bring to the table

You’re the kind of person who sees repetitive work and immediately thinks:

“There has to be a better way to do this.”

You’re fascinated by how AI can improve the way businesses operate in the real world. Not just flashy demos. Not just “cool prompts.” Real systems that save time, reduce friction, and make people more effective at their jobs.

You’ve probably already spent hours experimenting with AI tools on your own. Building automations. Testing prompts. Connecting workflows. Breaking things. Fixing them. Maybe you’ve built AI agents, automated reporting systems, internal copilots, or workflows using tools like Zapier, Make, or n8n. Maybe you’ve explored OpenAI APIs, Claude, vector databases, RAG systems, or orchestration frameworks because you genuinely wanted to understand how they work.

That curiosity matters here.

You enjoy solving messy problems. You’re comfortable navigating both technical systems and human workflows. You understand that great AI implementation is not just about the technology — it’s about understanding the people using it, the data behind it, and the business problem it’s trying to solve.

You’re highly detail-oriented and naturally proactive. When something breaks, you investigate. When a workflow feels inefficient, you improve it. When you learn something useful, you look for ways to apply it elsewhere.

Most importantly, you’re not looking to passively “learn about AI.”

You want to build real things that actually matter.

About Your Opportunity

You’ll learn the real skills behind practical AI implementation:

How to Identify High-Impact Automation Opportunities

You’ll work directly with teams across the business to uncover repetitive workflows, bottlenecks, and manual processes that can be streamlined with AI. You’ll separate “interesting ideas” from automations that actually create measurable ROI.

How to Build AI Agents That Solve Real Problems

You’ll design and deploy practical AI agents using low-code and no-code tools. Not theory. Real systems that integrate into existing workflows and help teams save time immediately.

How to Think Like an AI Systems Designer

You’ll deepen your understanding of prompt engineering, retrieval-augmented generation (RAG), knowledge systems, and multi-agent workflows. You’ll learn how modern AI systems are structured — and where they break.

How to Translate Business Needs Into Working AI Solutions

You’ll become the bridge between operational teams and technical implementation. You’ll learn how to turn vague requests into clear workflows, practical automations, and deployable systems.

How to Measure Real AI Impact

You’ll help maintain a transformation dashboard tracking hours saved, efficiency gains, and operational improvements across AI initiatives. You’ll learn how successful companies evaluate AI beyond hype and headlines.

How to Improve and Troubleshoot AI Workflows

You’ll learn how to diagnose workflow failures, improve agent behavior, refine prompts, and increase reliability over time. You’ll understand why great AI systems require iteration, not magic.

How to Navigate AI Governance and Data Risk

You’ll develop a practical understanding of data governance, permissions, privacy concerns, and organizational risk management around AI systems. You’ll learn why responsible implementation matters just as much as innovation.

How High-Performance Teams Actually Use AI

You’ll see how ambitious teams adopt AI to move faster, make better decisions, and eliminate low-value work — while maintaining high standards for execution, communication, and accountability.

If you’re reading this and thinking, “This is exactly the kind of work I want to do,” we’d love to hear from you.

If not? No worries. This opportunity is designed for people who want to build fast, think critically, and take ownership early.

And just so we’re clear:

We won’t hold your hand forever.

Once we teach you something, we’ll expect you to roll up your sleeves and actually execute. If you’re just looking to “learn about AI” without building, troubleshooting, and implementing, this isn’t the role for you.

What Will You Earn?

We believe in rewarding top talent. So let’s talk about salary once we’ve had the chance to get to know you better. Rest assured, we’re generous and offer above-market pay for the right person. If you bring the skills and experience, we’ll make sure the compensation reflects that.

How To Apply

Opportunities like this don’t come along often, and we have much to offer our successful applicants. So, to make sure our future AI Automation Intern is the real deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application:

If this position is for you, please respond to this advertisement with your resume and cover letter. Please, read carefully:

1. Write a cover letter addressing:

• Why you're the best AI Automation Intern for this role. Give quantifiable examples of related achievements.
• Describe a technical AI/ML project you worked on and the business outcome it drove. What metric did you set out to move, how did you measure success, and what would you do differently to increase the ROI?
• Describe why you fit perfectly with our values. Read them here: http://shorturl.at/lptFT
• What’s the toughest challenge you’ve ever overcome in your life? How did you overcome it?
• What are the last three books you’ve read?
• What do you do for fun?

2. Explain what you’re doing now for a job:

1. If you don’t have one, explain why.
2. If you have one, explain why you’re looking elsewhere.

3. Upload your cover letter, resume and portfolio:

1. Ensure that your cover letter and resume are saved and sent as one file.

Yes, our hiring process is challenging, but it’s our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops.

Click the “Apply Now” button on this page and upload your cover letter and resume.

***Note: Please include your cover letter WITH your resume in one document.

We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response.