AI Engineer

🌐 AI Engineering Intern – Co.Alt Lab

Build with purpose. Learn by shipping. Shape the future with AI.

📍 Location: Remote / Singapore-based preferred

📅 Duration: 3–6 months | Start: Rolling | Paid Internship

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About Co.Alt Lab

Co.Alt Lab is an AI-native innovation studio designing bold, human-centered products that reimagine how we live, work, and connect. We experiment rapidly, build globally, and operate at the intersection of arts, science, and AI.

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What You’ll Do

You won’t be shadowing—you’ll be building.

As an AI Engineering Intern, you will:

🔍 Prototype AI-first products like:

• HyperPersona: Our synthetic user research engine that replaces costly surveys with AI-generated audience insights.

• Adaptive ERP: An evolving, lightweight ERP system built on auto-agents and LLMs.

• Kyan: a foundational AI agent authentication system.

🛠️ Implement and fine-tune LLMs, RAG pipelines, and lightweight inference systems.

🔄 Work with founders and PMs to turn ideas into functional proof-of-concepts

🧠 Learn to use tools like OpenAI, Hugging Face, LangChain, Groq, Pinecone, and others—hands-on and in production.

📈 Conduct research, stress-test new ideas, and iterate based on real user feedback.

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What You’ll Learn

This internship is a launchpad, not a classroom.

• How to go from zero to demo in days, not months.

• Real-world AI application development from prompt to production.

• The discipline of lean product experimentation in an AI-native startup.

• The art of building things people want.

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You Might Be a Fit If You…

• Are deeply curious about AI and have built something—however small—on your own.

• Understand how LLMs work under the hood, or are eager to learn fast.

• Know how to code in Python (bonus: JS/TypeScript).

• Are excited by chaos, ambiguity, and the thrill of solving hard problems quickly.

• Believe the best way to learn is by shipping real stuff to real people.

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What You’ll Get

• 💼 1:1 mentorship from founders who’ve scaled AI startups.

• 🌏 Exposure to real users, feedback cycles, and cross-functional collaboration.

• 🧬 A chance to join the Co.Alt Lab network post-internship—this could be just the start.