Remote AI Systems & Reliability Engineer

Moonfire; Earth (TX); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Meaningful stock options

Educational stipend

Job summary

Moonfire is seeking an Applied AI Engineer to ensure quality, reliability, and trust in AI systems as we scale. You will work directly with founders, build evaluation pipelines, and drive performance improvements in AI applications.

The ideal candidate must have experience in AI/ML systems, an ownership mindset, and be proficient in debugging complex systems. This is a remote or onsite role, offering competitive salary and stock options.

Qualifications

• Experience working with AI/ML systems or data-intensive applications.
• Strong interest in quality, reliability, and system performance.
• Familiarity with monitoring, CI/CD, and production systems is a plus.

Responsibilities

• Build and maintain evaluation pipelines for core AI workflows.
• Identify issues across prompts and workflows using quantitative analysis.
• Ensure reliability and stability of AI systems.

Skills

Building in Go

AI/ML systems experience

High ownership mindset

Attention to detail

Debugging complex systems

Clear communication skills

Job description

Moonfire is seeking an Applied AI Engineer to ensure quality, reliability, and trust in AI systems as we scale. You will work directly with founders, build evaluation pipelines, and drive performance improvements in AI applications.

The ideal candidate must have experience in AI/ML systems, an ownership mindset, and be proficient in debugging complex systems. This is a remote or onsite role, offering competitive salary and stock options.