Responsibilities: of the Senior AI Software Developer include: Lead Agile sprint planning ensuring alignment of team priorities, clear deliverables, and successful execution of project objectives Mentor and guide team members by providing technical leadership, sharing best practices, removing roadblocks, and fostering a collaborative, high-performing team environment focused on continuous improvement Design, develop, and maintain microservices-based applications using modern software engineering best practices Collaborate with product owners, architects, and engineers in an Agile/SAFe environment Participate in sprint planning, daily standups, reviews, and retrospectives Collaborate with systems engineering and program teams to translate requirements into working software solutions Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices Contribute to system design discussions and technical decision-making Integrate services with databases, messaging systems, and external APIs Implement modern 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 relevant experience or a Master's Degree and 6+ years of relevant experience Hands-on experience building and supporting microservices-based systems Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system) Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms. Experience working in Agile environments Understanding of APIs and distributed system concepts Ability to obtain and maintain a Public Trust Successful completion of background investigations as required by the government customer 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 relevant experience or a Master's Degree and 6+ years of relevant experience Hands-on experience building and supporting microservices-based systems Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system) Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms.