SpaceX Principal AI Engineer developing AI capabilities and integrations for U.S. federal agencies. Design and build AI model integrations, SDKs, APIs, and developer tools tailored for government use.
Responsibilities
Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments
Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers
Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback
Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact
Qualification
Strong product sensibilityDemonstrated ability to write cleanExcellent communication skillsPrior work on AI safetyExperience with cloud platforms (AWS
Required
Bachelor's degree in computer science or another STEM discipline; OR 2+ years of professional experience in software development in lieu of a degree
6+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency, other languages a plus)
Preferred
Experience working with large language models, generative AI, or agentic systems—either in research, production, or applied engineering
Familiarity with government or public sector technology environments (federal civilian agencies, state/local gov, or regulated industries like healthcare, finance, or infrastructure)
Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions
Demonstrated ability to write clean, maintainable, high-performance code under tight timelines
Exceptional problem-solving skills and intellectual curiosity—you thrive on hard, ambiguous challenges
Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely
Prior work on AI safety, governance, red-teaming, or responsible AI deployment
Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
