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 engineering experience, including hands-on AI integrations; the experience requirement does not mean four years in AI.
Ability to build and support AI inference integrations using software engineering practices, including authentication, error handling, automated tests, and documented interfaces.
Working knowledge of retrieval pipelines, source permissions, provenance, and sensitive-data risks, including preserving access restrictions when information reaches AI applications.
Ability to design repeatable evaluations for functional regressions, retrieval quality, permission leakage, prompt-injection risks, and safeguards around AI-triggered tool actions.
Experience instrumenting services and investigating runtime failures, latency, resource use, costs, and configuration issues using actionable, privacy-aware diagnostic evidence.
Ability to document reusable capabilities and collaborate with business, Security, application, and data partners on approved permissions and release controls.

Preferred Qualifications

Experience delivering shared AI capabilities adopted by multiple applications or teams through supported interfaces and examples.
Experience with automated deployment, versioned evaluation assets, and controlled rollout or rollback of AI-enabled services.
Familiarity connecting AI platform controls to enterprise identity, data governance, and established operational support practices.

Additional Requirements

Available to work extended hours and weekends as needed.

ITAR Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Pay Range

$115,000—$175,000 USD

At Mach, we believe that compensation is more than just a paycheck. It's a comprehensive package designed to reward the time, skills, and expertise you bring to our team. We are committed to offering competitive compensation that is equitable, transparent, and aligned with market trends.