Applied AI Ops Engineer: LLM & Systems

SpaceX; Redmond (WA); On-site; USD 100,000 - 165,000; Full time

Benefits offered by this job

Stock options

Medical, vision, dental

401(k) retirement plan

Paid vacation & holidays

Shuttle to Redmond office

Job summary

SpaceX is hiring an Operations Engineer, Applied AI (Application Software) in Redmond to partner with Sales, Product, and Engineering. You will design practical testing approaches and robust system designs for AI-powered solutions using large language models, while prioritizing safety and responsible deployment.

You will build prototypes, lead cross-functional efforts, and stay ahead of evolving LLM technologies to deliver meaningful outcomes across programs.

Qualifications

• Bachelor’s degree in STEM or engineering.
• 1+ years of experience in engineering or operations/process development.
• Experience shipping real-world applications using large language models and related ML tools.
• Knowledge of prompt design, evaluation methods, agent systems, and retrieval architecture.
• Previous experience in AI product design, development, integration, and testing.
• Ability to work under pressure and deliver across multiple priorities.

Responsibilities

• Work with internal teams to design technical approaches aligned with goals.
• Serve as the main technical contact, supporting end-to-end delivery.
• Build prototypes and PoCs illustrating LLM integration with SpaceX platforms.
• Advise on system-wide architecture for AI-powered applications.
• Keep current on evolving LLM tech and best practices.

Skills

Cross-functional collaboration

Production-grade applications

LLM tooling

System architecture

Education

Bachelor’s degree in STEM or engineering

Tools

Spok/Grok integration

Job description

SpaceX is hiring an Operations Engineer, Applied AI (Application Software) in Redmond to partner with Sales, Product, and Engineering. You will design practical testing approaches and robust system designs for AI-powered solutions using large language models, while prioritizing safety and responsible deployment.

You will build prototypes, lead cross-functional efforts, and stay ahead of evolving LLM technologies to deliver meaningful outcomes across programs.