GenAI Forward-Deployed Engineer for Cloud AI

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking a GenAI Forward Deployed Engineer in Singapore. You will bridge the gap between AI products and customer integration challenges, ensuring the deployment of complex AI systems. Applicants should have a background in software development, AI architecture, and the ability to communicate fluently in Korean and English.

The role involves working closely with client engineering teams and leveraging advanced AI technologies, contributing to the evolution of enterprise solutions. Candidates with a Bachelor’s in Engineering or Computer Science and significant experience in AI systems will be preferred.

Qualifications

• 5 years of experience with software development using Python or similar coding languages.
• Fluent in Korean and English for business interactions.
• Experience with production-grade AI-driven solutions.

Responsibilities

• Serve as a developer for complex AI applications.
• Architect and code connections between AI products and customer infrastructure.
• Build high-performance evaluation pipelines.

Skills

Software development using Python

Architecting AI systems on cloud platforms

Building data pipelines

Korean and English communication

Education

Bachelor's degree in Engineering or Computer Science

Job description

United States Digital Space LLC is seeking a GenAI Forward Deployed Engineer in Singapore. You will bridge the gap between AI products and customer integration challenges, ensuring the deployment of complex AI systems. Applicants should have a background in software development, AI architecture, and the ability to communicate fluently in Korean and English.

The role involves working closely with client engineering teams and leveraging advanced AI technologies, contributing to the evolution of enterprise solutions. Candidates with a Bachelor’s in Engineering or Computer Science and significant experience in AI systems will be preferred.