AI​/ML Software Engineer

Responsibilities

• Design and implement APIs, data pipelines, and simulation runtime logic.
• Develop software using modern programming languages such as Java, Python, C++, or Type Script/Angular.
• Write clean, testable, and maintainable code following secure coding and software engineering best practices.
• Build and integrate modular microservices to improve scalability, maintainability, and interoperability.
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines.
• Implement Infrastructure-as-Code and automation scripts.
• Contribute to secure deployments across hybrid or disconnected environments.
• Develop distributed systems and data integration frameworks using message buses.
• Engineer data flow between analytic, AI, and simulation components.
• Collaborate with system engineers and architects to ensure interoperability across software ecosystems.
• Build and manage databases and model complex data relationships.
• Write, test, and deploy software within secure or classified environments.

• Must be a U.S. citizen and be willing to obtain and maintain a security clearance.
• 6–10+ years of professional software engineering experience.
• 3+ years of professional experience with Dev Sec Ops , Zero-Trust, or ATO/RMF processes in DoD/DoW environments.
• Strong full‑stack or systems engineering background.
• Proficiency in one or more of the following languages:
  Java, Python, C++, or Type Script/Angular.
• Experience building containerized, cloud‑native solutions using Docker, Kubernetes, and CI/CD pipelines.
• Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
• Experience developing or integrating analytics and AI models into production systems.