AI Engineer Intern

Job Responsibilities

As an AI Engineer Intern within the Agentic AI Pod, you will work closely with experienced AI Engineers to design, prototype, and evaluate agentic AI systems on Razer’s internal AI platform. This internship provides 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 for scalable, production-oriented AI engineering.

• 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
• 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 third-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, and fine-tuning or adapting ML models

Pre-Requisites

Razer is an Equal Opportunity Employer and is committed to providing an inclusive, respectful, and fair workplace. Reasonable accommodations are provided where needed to ensure every team member can perform and contribute at their best.

Are you game?