Job description

Our Journey The ShopBack Group is Asia-Pacific's leading shopping and rewards platform, trusted by over 20 million active members across 13 markets, including Germany and the United States. Driven by the vision to make every day more rewarding, ShopBack saves members money and time with more ways to earn and more to do with what they earn, and empowers merchants and brand partners to effectively engage its members. Founded in Singapore in 2014, ShopBack now powers over US$5.5 billion in annual sales and half a million transactions a day for more than 20,000 online and in-store partners. As a ShopBack intern, you do real work and deliver real impact. You ship code that goes to production and is used by millions of members all over the world. AI agents are part of how we build every day, so you will orchestrate and build with them from day one. What You'll Own Ship real features. You own a scoped project, from design to production, with a mentor who supports you. Build with AI as a teammate. You use coding agents to move fast, and you learn to review, test, and verify what they produce. Make AI tools for others. You build a skill, a tool, or an agent workflow that your team keeps using after your internship ends. Measure, don't guess. You write evals and tests so you can prove that your AI-powered work is good. Essentials to Succeed You have good fundamentals . You can write clean code, you are familiar with design patterns, and you understand data structures, APIs, and testing. You have built things outside of class . Side projects, hackathons, open source, and freelance work all count. You have applied AI, not only chatted with it . What have you built? Tell us about an app on an LLM API, a custom agent or MCP server, a boring task you automated end to end, or a simple eval you used to compare prompts or models. You stay curious and sceptical . You ask why the AI gave an answer, and you check it before you trust it. You learn fast . You are excited to learn new things. You are comfortable when you do not know something yet, and you ask good questions. Show Us What You Built with AI Tell us about: The coolest one : the thing you are most proud of, or the thing that made people say "wait, how?" Or the hardest one : the thing that broke many times before it worked. For each one, tell us: The problem : what you wanted to solve, and why it mattered to you. What you built : what you built, compared to what the AI did. What broke : where the AI failed, and how you found and fixed the problem. The result : a link to a repo, a demo, a video, or a write-up. A result that works with rough edges is better than slides that look polished. Start where the problem is real. A personal agent that saves your time 10 minutes every day is better than a big idea that nobody built. Build it, ship it, and let people use it. Bonus Points Agents : you built an agent that uses tools, keeps memory, or runs many steps without a human. Evals : you wrote evals or tests to measure whether your AI output improved. Real users : you shipped something that people other than you actually use. Cloud : you deployed your project to a cloud platform. We are looking for builders who are curious about AI and make a real impact with it. Technologies You'll Touch TypeScript / Node.js Postgres Kafka Kubernetes GitLab Datadog Claude Code MCP ShopBacker Traits Agency - We take ownership and act, rather than waiting for permission. When something's blocking progress, we find a way through it and follow through until it's done. Judgement - We aim for high-impact decisions, not just easy wins, and we put the bigger picture ahead of individual interests. That means moving quickly and confidently, while staying thoughtful about when a call really matters. Learning Velocity - We pick up new skills fast and let go of old habits just as quickly when something better comes along. We benchmark ourselves against the best and keep raising our own bar. Tenacity - We stay in it when things get hard, keeping a level head under pressure. We debate openly before deciding, then commit fully — and support each other along the way. What's in it for ShopBackers Career growth opportunities to take on greater challenges that help you realise your ambitions. Be part of a winning team on a journey to global scale. Competitive compensation based on performance. Candid, open, and collaborative culture where feedback is valued.

Requirements

Must-haves

What You'll Own
Ship real features. You own a scoped project, from design to production, with a mentor who supports you.
Build with AI as a teammate. You use coding agents to move fast, and you learn to review, test, and verify what they produce.
Make AI tools for others. You build a skill, a tool, or an agent workflow that your team keeps using after your internship ends.
Measure, don't guess. You write evals and tests so you can prove that your AI-powered work is good.
Essentials to Succeed
You have good fundamentals . You can write clean code, you are familiar with design patterns, and you understand data structures, APIs, and testing.
You have built things outside of class . Side projects, hackathons, open source, and freelance work all count.
You stay curious and sceptical . You ask why the AI gave an answer, and you check it before you trust it.
You learn fast . You are excited to learn new things. You are comfortable when you do not know something yet, and you ask good questions.
Show Us What You Built with AI
The coolest one : the thing you are most proud of, or the thing that made people say "wait, how?"
Or the hardest one : the thing that broke many times before it worked.
The problem : what you wanted to solve, and why it mattered to you.
What you built : what you built, compared to what the AI did.
What broke : where the AI failed, and how you found and fixed the problem.
The result : a link to a repo, a demo, a video, or a write-up. A result that works with rough edges is better than slides that look polished.

Nice-to-haves

Agents : you built an agent that uses tools, keeps memory, or runs many steps without a human.
Evals : you wrote evals or tests to measure whether your AI output improved.
Real users : you shipped something that people other than you actually use.
Cloud : you deployed your project to a cloud platform.
We are looking for builders who are curious about AI and make a real impact with it.
Technologies You'll Touch
TypeScript / Node.js

Application prep

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Keywords to mirror

aillmapitypescriptnode.jspostgreskubernetesgo

Platform: lever
Effort: quick

Benefits

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