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.
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