Applied AI Engineer

Quick Facts

• Role: Applied AI Engineer (individual contributor)

• Focus: AI/ML software for intelligence workflows, especially RF sensing, waveform generation/adaptation, communications, and networking

• Responsibilities: Build and maintain mission-relevant software across the full development lifecycle

Description

Develop, integrate, test, and maintain software that supports advanced analytics and machine learning for intelligence workflows. You will implement, debug, test, and document well-scoped components and integrations involving AI/ML and RF/communications systems, including unit/integration/system/regression testing and operational support. You’ll grow technical depth while independently owning assigned parts of larger systems.

Responsibilities

• Implement and maintain software components, services, APIs, and data-processing capabilities supporting AI/ML, RF sensing, communications, and networking workflows

• Deliver assigned features and fixes from defined requirements and technical designs

• Participate in unit, integration, system, and regression testing; troubleshoot issues and support demos and releases

• Support integration with RF/sensor data sources, AI/ML models, communications services, Open RAN components, waveform generation/adaptation, and edge/on-prem compute environments

• Use version control, code review, automated testing, issue tracking, documentation, and secure coding practices

• Collaborate with software, systems, RF/communications researchers, and DevSecOps stakeholders to clarify requirements and resolve technical issues

• Improve reliability, performance, maintainability, usability, and testability of existing systems

• Contribute to AI/ML-enabled RF sensing and communications capabilities

Requirements

• MS, or BS with 2 years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline

• Ability to obtain and maintain a Secret or Top Secret security clearance (U.S. citizenship required)

• Proficiency in at least one programming language (Python, C++, Java, Go, or similar)

• Experience applying AI/ML techniques to technical problems involving sensor, time-series, RF, communications, or other non-textual data

• Software development experience implementing, testing, debugging, and maintaining software

• Familiarity with object-oriented design, data structures, algorithms, software design patterns, and version control (Git)

• Quality mindset: unit testing, debugging, documentation, code review, CI/CD, containers, and secure software development practices

• Ability to collaborate and communicate progress, findings, and blockers; seek guidance when requirements or decisions are unclear

Benefits

• Full-time salary range: $120,000–$150,000 (based on experience, education, key skills, security clearance, and market conditions)

• Opportunities to grow technical depth and independently own well-defined components within larger systems