Applied AI Engineer (AI)

Location: Woburn, MA, or Arlington, Virginia, United States. <hirify.globalong>U.S. citizenship is required for eligibility to obtain a Secret or Top Secret security clearance.hirify.globalong>

Full-Time Salary Range: $120,000–$150,000 annually.

Company

hirify.global develops advanced research and development solutions for defense, intelligence, national security, cyber, sensors, radar, sonar, communications, electronic warfare, and artificial intelligence.

What you will do

• Develop, test, debug, and maintain software components, services, APIs, data-processing capabilities, tools, and user interfaces for AI/ML, RF sensing, communications, and networking workflows.
• Implement well-scoped features, modules, integrations, and fixes from defined requirements and technical designs.
• Support unit, integration, system, and regression testing, troubleshooting, demonhirify.globalations, releases, and integration with RF and sensor data sources, AI/ML models, communications services, Open RAN components, waveform systems, and edge or on-premises environments.
• Apply version control, code review, automated testing, issue tracking, documentation, secure coding, and other engineering practices.
• Collaborate with software and systems engineers, RF and communications researchers, DevSecOps personnel, and stakeholders to clarify requirements and resolve technical issues.
• Improve reliability, performance, maintainability, usability, and testability while building technical depth and increasing ownership of assigned components.

Requirements

• MS degree, or BS degree with 2 years of relevant experience, in computer science, software engineering, computer engineering, or a related technical discipline.
• <hirify.globalong>Ability to obtain and maintain a Secret or Top Secret security clearance; U.S. citizenship is required by the U.S. government.hirify.globalong>
• Proficiency in at least one programming language, such as Python, C++, Java, Go, or a similar language.
• Experience applying AI/ML techniques and tools to technical problems involving sensor, time-series, RF, communications, or other non-textual data.
• Experience developing, testing, debugging, and maintaining software through coursework, internships, research, professional work, or personal projects.
• Familiarity with object-oriented design, data hirify.globaluctures, algorithms, software design patterns, and Git or other version-control systems.
• Familiarity with unit testing, debugging, documentation, code review, CI/CD, containers, and secure software-development practices.
• Ability to work effectively on a technical team, communicate progress and technical findings clearly, and seek guidance when requirements or decisions are unclear.

Nice to have

• Experience with RF signal processing, wireless communications, 5G/6G RAN, O-RAN/AI-RAN, waveform generation or adaptation, or edge AI.
• Active Secret or Top Secret security clearance.
• Experience with digital signal processing, software-defined radios, RF sensing, PHY/MAC processing, or wireless systems.
• Experience deploying AI/ML models to edge, GPU-enabled, resource-conhirify.globalained, or hardware-accelerated platforms and familiarity with 5G/6G, Open RAN, or AI-RAN architectures.
• Experience developing or testing high-throughput, latency-sensitive software for RF sensing, PHY, MAC, scheduling, or radio-resource management.
• Familiarity with Docker, CI/CD pipelines, Linux, cloud services, Kubernetes, monitoring, logging, or infrahirify.globalucture automation.
• Experience with REST APIs, backend services, web applications, dashboards, visualization tools, data-processing services, message queues, hirify.globaleam processing, dihirify.globalibuted computing, microservices, time-series data, or real-time analytics pipelines.
• Experience using LLM-enabled development tools such as Cursor or Codex in a secure engineering workflow.
• Experience supporting Department of War, Intelligence Community, or other U.S. Government customers.

Culture & Benefits

• Collaborative learning environment focused on deep technical understanding.
• Technical individual-contributor role with opportunities to grow technical depth and independently own well-defined components.
• Work supports mission-critical defense, intelligence, and national-security applications.
• Full-time employment with salary offers based on experience, education, training, skills, clearances, and market conditions.