Agentic AI Intern: Build Autonomous LLM Agents

Razer (Asia-Pacific) Pte. Ltd; Singapore; On-site; SGD 17,000 - 23,000; Part time

Job summary

Razer (Asia-Pacific) Pte. Ltd. invites applications for an AI Engineer Intern within the Agentic AI Pod.

You will work with senior AI engineers to design, prototype, and evaluate agentic AI systems on Razer’s internal AI platform, gaining hands-on experience with LLMs, RAG, agent orchestration and model adaptation across real-world gaming use cases. You will help build autonomous AI agents, participate in data preparation and experimentation, and learn production‑oriented AI engineering

Qualifications

• Pursuing a degree in Computer Science, AI, ML, or a related technical field.
• Strong programming skills in Python.
• 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.

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

LLMs

Prompt engineering

NLP

Agent frameworks

LangChain

LlamaIndex

Vector databases

OpenAI APIs

LLM APIs

Education

CS/AI/ML degree

Tools

LangChain

LlamaIndex

OpenAI APIs

Job description

Razer (Asia-Pacific) Pte. Ltd. invites applications for an AI Engineer Intern within the Agentic AI Pod.

You will work with senior AI engineers to design, prototype, and evaluate agentic AI systems on Razer’s internal AI platform, gaining hands-on experience with LLMs, RAG, agent orchestration and model adaptation across real-world gaming use cases. You will help build autonomous AI agents, participate in data preparation and experimentation, and learn production‑oriented AI engineering