AI Engineer Intern

Razer; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

Razer seeks an AI Engineer Intern to help design, prototype, and evaluate agentic AI systems on Razer’s internal AI platform. You’ll work with experienced AI engineers on LLMs, RAG pipelines, and tool usage across gaming scenarios.

You will contribute to data preparation, experimentation, and system integration while learning best practices for scalable AI engineering in a fast-moving gaming company.

Qualifications

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

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

Skills

Python

LLM basics

LLM APIs

RAG pipelines

LangChain

NLP

Prompt engineering

Embeddings / Vector DB

Fine-tuning ML models

Education

Pursuing CS/AI/ML degree

Tools

OpenAI API

Claude API

Gemini

LLaMA

Job description

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities

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

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?