AI Assisted Software Engineer
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
About Zone 5 Technologies
Builds low-cost autonomous missiles, counter-UAS interceptors, and flight-control systems for DoD customers, owning design, avionics, software, flight test, and production.
Private Late · 200–500 people
Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter. We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here. We are seeking an experienced AI-Assisted Software Engineer / Enterprise Systems Builder to design, prototype, and deploy enterprise-grade software solutions using modern AI-assisted development tools. This role combines software engineering, systems architecture, product thinking, and rapid iteration to build internal applications, workflow automation, and a custom ERP platform that
More from the job description
At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter. We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here. We are seeking an experienced AI-Assisted Software Engineer / Enterprise Systems Builder to design, prototype, and deploy enterprise-grade software solutions using modern AI-assisted development tools. This role combines software engineering, systems architecture, product thinking, and rapid iteration to build internal applications, workflow automation, and a custom ERP platform that supports core business operations. The ideal candidate is a highly autonomous full-stack engineer who can transform loosely defined business challenges into scalable, production-ready systems while maintaining high standards for security, reliability, and maintainability. KEY RESPONSIBILITIES: Use AI-assisted coding tools to accelerate the development of enterprise applications and internal systems Architect and develop a custom ERP platform supporting inventory management, purchasing and procuremen [... source excerpt omitted ...] ds, deployment pipelines, and engineering workflows Collaborate cross-functionally with operations, leadership, and end users to improve business systems and efficiency REQUIRED QUALIFICATIONS: Bachelor’s degree in Computer Science, Software Engineering, or related technical field 5+ years of professional software engineering experience Strong full-stack development experience building enterprise or operational software systems Experience architecting and developing scalable business applications Proficiency with AI-assisted development workflows and tools Strong understanding of: system architecture, relational databases, API design and integrations, authentication and authori [... source excerpt omitted ...] , Node.js, PostgreSQL, Docker, Cloud Platforms. Strong debugging, analytical, and problem-solving skills Ability to work independently in a fast paced environment from ambiguous requirements and drive projects to completion Comfortable operating in a fast-paced, startup-style environment S. Citizenship PREFERRED QUALIFICATIONS Experience building ERP, MES, manufacturing, or supply-chain systems Experience with multi-tenant applications, workflow engines, RBAC and permissions systems, reporting and BI platforms, AI agents and orchestration tools, OCR and document processing, EDI integrations, DevOps and could infrastructure. Experience integrating LLM’s into internal business
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