# AI Engineer Intern

**Company**: Razer
**Location**: Singapore
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/AI-Engineer-Intern_JR2026006947?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_88398dab-906

## Description

Joining Razer will place you on a global mission to revolutionize the way the world games. As an AI Engineer Intern within the Agentic AI Pod, you will work closely with experienced AI Engineers to help design, prototype, and evaluate agentic AI systems on Razer's internal AI platform.

This internship offers hands-on exposure to modern AI stacks involving LLMs, retrieval-augmented generation (RAG), agent orchestration, and model adaptation, applied to real-world gaming and platform use cases.

You will contribute to building and improving autonomous and semi-autonomous AI agents, gaining experience across the AI development lifecycle,from data preparation and experimentation to system integration and evaluation,while learning best practices in scalable, production-oriented AI engineering.

**Key Responsibilities:"

Assist in designing and implementing agentic AI components, such as planning logic, tool usage, memory, and multi-step reasoning

Support the development and optimization of Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases

Help prepare datasets and experiment with LLM fine-tuning or adaptation techniques (e.g., instruction tuning, LoRA)

Contribute to internal tooling, frameworks, or workflows for LLM-driven agents

Integrate and experiment with 3rd-party AI services (LLMs, speech, vision, or agent frameworks)

Participate in benchmarking and evaluation of models, prompts, agent behaviors, and retrieval strategies

Assist with testing, debugging, and improving system performance, latency, and reliability

Collaborate with AI Engineers, Platform Engineers, and DevOps teams while learning industry best practices

Stay up to date with emerging trends in agentic AI, LLMs, and RAG systems

**Technical Skills:"

Students pursuing a degree in Computer Science, AI, ML, or a related technical field are welcome to apply

Strong programming skills in Python and familiarity with software engineering fundamentals

Basic understanding of large language models (LLMs) and prompt engineering concepts

Familiarity with at least one LLM API or open-source LLM (e.g., OpenAI, Claude, Gemini, LLaMA)

Exposure to or interest in RAG pipelines, agent frameworks, or ML workflows

Willingness to learn and experiment with modern AI tools and frameworks (e.g., LangChain, LlamaIndex)

Coursework, projects, or research related to NLP, LLMs, or agent-based systems

Experience from academic, personal, or hackathon projects involving: Prompt engineering, Vector databases or embeddings, Fine-tuning or adapting ML models

**Pre-Requisites:"

## Skills

### Required
- Python
- Software engineering fundamentals
- Large language models (LLMs)
- Prompt engineering concepts
- LLM API or open-source LLM
- RAG pipelines
- Agent frameworks
- ML workflows

### Nice to have
- LangChain
- LlamaIndex
- NLP
- LLMs
- Agent-based systems

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Source: [Apply at razer.wd3.myworkdayjobs.com](https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/AI-Engineer-Intern_JR2026006947?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)