Ready to build something that matters?

At Katalon, interns don't sit on the sidelines—they build, create, analyze, and solve real business problems alongside experienced professionals.

If you're curious, love learning, aren't afraid to ask questions, and want to see how a global SaaS company really works, we'd love to meet you.

About the project:

This project strengthens the retrieval (RAG) and memory layers underpinning Katalon's AI agents. Current agent quality gaps — hallucination, inaccurate grounding, and lost context across sessions — trace to immature retrieval and memory infrastructure. The objective is to measurably improve agent response quality and context retention, without pulling core engineers off committed roadmap items — at a fraction of one FTE's cost, while also building a hiring pipeline for the AI platform team.

🚀 What you'll do

• Build an agent quality evaluation pipeline: an automated benchmark measuring response accuracy, grounding, and hallucination rate

• Run retrieval tuning experiments, improving chunking, embedding, and ranking strategies validated against the benchmark

• Build a working GraphRAG/memory prototype for cross-session memory persistence

• Document experiments and findings so the core team can adopt them directly

💡 We're looking for someone who

• Solid Python and software engineering fundamentals (final-year student or fresh graduate level)

• Familiarity with LLMs, prompt engineering, and loop engineering; hands-on exposure to RAG concepts is a strong plus

• Basic data engineering skills — building pipelines, working with structured and unstructured data (e.g. JSON)

• Experience with LangChain/LlamaIndex, graph databases, or evaluation frameworks (e.g. Ragas, DeepEval) is a strong plus

• Self-directed learner, comfortable with ambiguity, with an experimentation mindset — always willing to try a new retrieval or memory approach rather than sticking to the first one that works

• Good written English for documentation, since findings need to be picked up by the core engineering team, including honest reporting of benchmark results, regressions included

• Genuinely into how AI agents actually work, not just running pre-built tutorials

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (final-year student or fresh graduate)

✨ Why you'll love interning here

• Real projects. Real ownership. No coffee runs. No photocopying. You'll contribute to work that actually matters.

• Learn from experts. Work alongside experienced professionals who genuinely enjoy mentoring.

• Grow faster. Receive regular feedback, ask questions freely, and learn through doing.

• Meet amazing people. Collaborate across teams and build meaningful connections.

• Get paid while you learn. Competitive monthly internship allowance.

• Experience global SaaS. Discover how a fast-growing tech company builds products used by teams around the world.

🎯 Our hiring process

We keep things simple.

1. Apply 📄
Submit your CV.

2. Video Interview 🎥
Record short answers so we can get to know you beyond your resume.

3. HR Interview 💬
Let's talk about your interests, goals, and whether we're a good fit for each other.

4. Panel Interview 🤝
Meet your future teammates and hiring manager through a collaborative discussion and role-related assessment.

5. Welcome to Katalon! 🎉
Complete onboarding and start building with us.

🌈 Diversity & Inclusion

Katalon is proud to be an equal opportunity employer. We celebrate diverse perspectives, backgrounds, and experiences because great ideas come from people who think differently. We hire based on talent, potential, and passion—nothing else.