| Location | Gaithersburg, MD |
Responsibilities: of the Senior AI Software Developer include: Lead Agile sprint planning and technical execution, ensuring team priorities, deliverables, and project objectives remain aligned. Design, develop, and maintain scalable microservices-based applications using modern software engineering best practices. Collaborate with systems engineering, product owners, architects, DevSecOps, and QA teams to deliver high-quality software solutions. Develop and integrate APIs, databases, messaging systems, and event-driven services within distributed environments. Utilize AI-assisted development tools to improve coding efficiency, software quality, debugging, testing, and system reliability. Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices. Implement automated testing strategies, including unit, integration, contract, and end-to-end testing. Core Qualifications for the Senior AI Software Developer include: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 8+ years of experience developing and supporting enterprise software applications and distributed systems. Proficiency in at least one modern programming language, such as Java, Python, C++, or similar, within a Linux-based environment. Experience or exposure to AI/ML-enabled systems, AI-assisted development tools (such as Claude Code), automation, or intelligent platforms. Strong understanding of APIs, distributed systems, and modern software development best practices. Experience working in Agile/Scrum or SAFe environments. Ability to obtain and maintain a Public Trust. Qualifications: for the Senior AI Software Developer include: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 8+ years of experience developing and supporting enterprise software applications and distributed systems. Proficiency in at least one modern programming language, such as Java, Python, C++, or similar, within a Linux-based environment. Experience or exposure to AI/ML-enabled systems, AI-assisted development tools (such as Claude Code), automation, or intelligent platforms. Strong understanding of APIs, distributed systems, and modern software development best practices. Experience working in Agile/Scrum or SAFe environments. Ability to obtain and maintain a Public Trust.