Mach Industries · Huntington Beach, California, United States
About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Build reusable AI platform capabilities that engineering and business teams can adopt safely. Deliver shared inference integrations, retrieval pipelines, evaluations, and self-service tools. Make permissions, runtime behavior, and operating costs visible while helping accountable partners assess readiness for their use cases. Key Responsibilities Build reusable inference interfaces and self-service templates with least-privilege identities, approved tool permissions, documented failure behavior, and human approval gates. Partner with data engineers to deliver retrieval pipelines that preserve source permissions, provenance, refresh behavior, and approved ingestion and retrieval constraints. Create versioned evaluations and release gates covering regressions, permission leakage, prompt injection, and tool safeguards, with recorded results and rollback procedures. Monitor failures, latency, usage, and costs; maintain privacy-aware traces, configurations, runbooks, and incident improvements for supported shared AI services. Agree interfaces with application and data teams, implement Security-approved controls, and leave business decisions and use-case acceptance with accountable owners. Required Qualifications 4+ years of software or platform engin…
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