Remote AI Efficiency Engineer (LLM & Tooling)

Binance; Singapore; A distancia; SGD 27.000 - 47.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first work environment

Career growth opportunities

Competitive salary and benefits

Descripción de la vacante

Binance Accelerator Program in Singapore seeks an AI Intelligence Efficiency Engineer intern to help build AI tooling and optimize LLM-based applications. You will work on coding assistants, automation scripts, and knowledge Q&A systems while exploring emerging AI technologies.

The role emphasizes collaboration, learning, and hands-on experience in a fast-paced, remote-first environment.

Formación

• Pursuing a Bachelor's or Master's degree in Computer Science or related field.
• Proficiency in at least one programming language (Python preferred).
• Strong fundamentals in programming and problem solving.
• Interest in AI, especially large language models (LLMs).
• Experience using AI tools like ChatGPT, Copilot or similar.
• Familiarity with basic software development workflows (Git, debugging).
• Good communication skills and willingness to learn.

Responsabilidades

• Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems.
• Support the development of LLM-based applications (prompt optimization, lightweight RAG pipelines).
• Contribute to initiatives that improve engineering efficiency and developer experience.
• Help test, iterate, and document internal AI tools and platforms.
• Research and experiment with emerging AI technologies and use cases.

Conocimientos

Python

Problem solving

Communication

AI interest

ChatGPT/Copilot experience

Git workflow

Quick learner

Educación

Bachelors/Masters in CS or related

Herramientas

ChatGPT

Copilot

Git

Descripción del empleo

Binance Accelerator Program in Singapore seeks an AI Intelligence Efficiency Engineer intern to help build AI tooling and optimize LLM-based applications. You will work on coding assistants, automation scripts, and knowledge Q&A systems while exploring emerging AI technologies.

The role emphasizes collaboration, learning, and hands-on experience in a fast-paced, remote-first environment.