Junior Full Stack AI Engineer — Paid Internship to Full-Time

Read this part first — it answers most of the questions we get.

💼 Starts as a 2-month paid internship, converting to a full-time role on hitting a written performance bar

📍 Islamabad — Onsite

🕠 6:00 PM – 2:00 AM PKT, Monday to Friday

Relevant experience and a degree are required.

💰 Both the internship stipend and the full-time salary are stated in the first screening question. Please read it before applying — it saves us both time.

ABOUT THE ROLE

DevForest builds AI SaaS products for international clients, and we ship every week.

You'll work across the whole stack — frontend, backend, database, deployment — directly with the founders, not three layers down.

We're not looking for someone whose experience ends with tutorials, repositories or unfinished demos. We want someone who has taken something from an idea to a working product that other people actually use.

HOW THE FIRST TWO MONTHS WORK

You'll get a paid Claude Code account and the same AI tooling we use ourselves. We expect you to use it to move fast — and we expect you to understand and defend every line it writes for you.

WHAT YOU'LL DO

• Build features end to end — schema, API, frontend, deploy
• Ship AI features, and care about latency and cost
• Build authentication, billing, usage metering and admin screens
• Fix customer problems quickly and own the fix
• Ship weekly, not quarterly

WHAT WE'RE LOOKING FOR

• You've built and deployed something that people other than your classmates have actually used — a live URL we can open today
• You built it because you wanted to, not because a course required it
• You kept going after it stopped being fun: you deployed it, someone reported a bug, you fixed it
• You've touched the whole stack — auth, database and deployment, not just a frontend on a template
• TypeScript with React/Next.js, and Node.js or Python/FastAPI
• Comfortable with PostgreSQL and basic data modelling
• You've built login and auth yourself at least once, even in a side project
• You've built something with an LLM API — even a small thing
• You use AI to move faster, and can still explain and defend every line you ship
• Curiosity, urgency and ownership — we notice these before we notice your CV

Internships, FYPs and course projects are fine to list. But the thing we'll actually click on is whatever you built on your own.

HOW TO APPLY — BOTH STEPS REQUIRED, BOTH IN THE FORM

• Complete the application form below and include live links to what you've built
• Record a 1–2 minute video: who you are, one thing you built, and one thing that broke in it and how you fixed it.

Upload to Loom, Google Drive or unlisted YouTube, set sharing to "anyone with the link can view", and paste the link into the last question of the form

Applications without a video will not be reviewed.

Please don't DM the link — it goes in the form.

OUR PROCESS

We open your links.

If nothing loads, that's where it ends

2. A 45-minute call — you walk us through your own code and add a small feature live

If you know someone who builds quickly, thinks deeply and takes ownership, please tag them or share this post.

📥 Apply here: https://forms.gle/4zgQn5ZaY2ko1nhPA