01 AI Software Engineering Intern Engineering Kuala Lumpur

Cleve, Inc.; Kuala Lumpur; On-site; MYR 120,000 - 240,000; Full time

Job summary

Cleve, Inc. in Kuala Lumpur is building AI-powered features for thousands of users. You’ll own full-stack work across a Next.js frontend and Convex backend, and you will integrate LLMs, embeddings, and knowledge retrieval to deliver context-aware AI responses.

You’ll ship features quickly, experiment with prompts and evals, and work closely with the CTO from idea to deployment. A strong portfolio and hands-on AI tooling experience are highly valued.

Qualifications

• A GitHub or portfolio with shipped projects.
• Hands-on experience with LLMs and embeddings.
• Practical use of AI tools daily and ability to critique them.

Responsibilities

• Ship full-stack features across Next.js frontend and Convex backend.
• Build and improve RAG pipelines for context-aware AI responses.
• Integrate and evaluate LLM providers like OpenAI, Anthropic, and Gemini.
• Work on embeddings, vector search, and knowledge retrieval.
• Experiment with prompts, evals, and agent behaviours.
• Work with the CTO and team from idea to deployment.

Skills

Portfolio of shipped projects

LLMs experience

AI tooling evaluation

Tools

Next.js

Convex

Serverless

Vector databases

OpenAI API

Job description

Ship production code at the intersection of software and AI, to more than 40,000 real users. This is not a fetch-coffee internship. You'll own features across the stack, work directly with our CTO, and push to production in your first week. We move faster than companies ten times our size, and we're looking for people who already build like that.

What you'll be doing

• Ship full-stack features across our Next.js frontend and Convex backend
• Build and improve RAG pipelines for context-aware AI responses
• Integrate and evaluate LLM providers like OpenAI, Anthropic, and Gemini
• Work on embeddings, vector search, and knowledge retrieval
• Experiment with prompts, evals, and agent behaviours
• Work with the CTO and team from idea to deployment

What we're looking for

• A GitHub or portfolio with things you've actually built and shipped. Side projects, hackathon entries, apps with real users. The bar to ship has never been lower, and we expect you to have used that to your advantage
• A working understanding of LLMs and embeddings from using them, not just reading about them
• You build with AI tools daily and have opinions about which ones are good

Nice to have

• A project with real users and the scars to show for it
• Experience with Next.js, Convex, or serverless architecture
• Familiarity with vector databases and retrieval systems
• Open source contributions

We're attracted to someone who

• Builds things before anyone asks them to
• Would rather ship a rough v1 today than a polished v1 next month
• Keeps up with AI by trying things, not just reading threads
• Takes initiative rather than waiting for instructions
• Can unlearn and relearn quickly in a field that changes monthly