Razer logo

Generative AI Intern

Razer
1 day ago
Full-time
On-site
Singapore, Singapore

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 #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

This internship focuses on supporting the development of GenAI-driven tools for developer workflows and interactive systems. The intern will work closely with AI engineers and software developers to prototype GenAI features, run experiments, and contribute to building practical AI solutions.

The ideal candidate has a strong interest in large language models, retrieval-augmented generation (RAG), and agent-based AI systems, along with basic experience in Python and machine learning frameworks. This role offers hands-on exposure to building and evaluating real-world GenAI applications.

Essential Duties and Responsibilities

  • Assist in building and testing retrieval-augmented generation (RAG) pipelines for developer tools and interactive applications.

  • Support the development of prompt templates, retrieval strategies, and evaluation scripts for GenAI systems.

  • Help prototype agent-based workflows for task automation, reasoning, and tool usage.

  • Contribute to data preparation, cleaning, and annotation for structured and unstructured datasets used by GenAI models.

  • Assist in experimenting with LLM fine-tuning or prompt engineering techniques for domain-specific tasks.

  • Implement small features or components in GenAI microservices or APIs under guidance from senior engineers.

  • Run experiments and help evaluate GenAI system performance using predefined metrics and benchmarks.

  • Document experiments, implementation details, and findings to support team knowledge sharing.

  • Research emerging techniques in GenAI, LLMs, RAG, and agentic systems and summarize findings for the team.

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?