Applied AI Software Engineer

CACI International Inc is focused on deploying AI solutions that impact national security missions. This role involves building and deploying high-impact AI capabilities and supporting infrastructure, while mentoring program teams on AI concepts and ensuring smooth transitions to program ownership.

Responsibilities:

• Build and deploy high-impact AI capabilities aligned to program requirements in AWS cloud and on-premises environments that demonstrate measurable value
• Quickly understand diverse program requirements and translate them into deployable AI solutions
• Stand up AI development environments and supporting infrastructure on programs with hands-on assistance to ensure smooth transition to program ownership
• Provide hands-on deployment support including production readiness guidance and technical troubleshooting
• Participate in weekly AI Office Hours to address technical questions from programs across the company
• Demonstrate AI capabilities to program stakeholders and internal teams, clearly articulating technical approach and mission impact
• Mentor program teams on AI concepts, architectural patterns, and engineering best practices to enable self-sufficiency
• Transition AI capabilities to program ownership, ensuring teams can maintain and operate solutions independently
• Leverage AI tools and agents to maximize personal and team productivity, demonstrating AI-forward workflows
• Collaborate with AI Acceleration Center team members to scale best practices and reusable capabilities across our programs

Requirements:

• Bachelor's degree in computer science, engineering, mathematics, or related technical field
• 3+ years of professional software engineering experience
• Demonstrated ability to work independently as a productive individual contributor with limited supervision
• Strong programming skills in Python
• Experience with containerization and deployment technologies, including Docker and Kubernetes
• Experience deploying and operating applications in AWS cloud environments
• Demonstrated use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate coding, debugging, and delivery
• Strong written and verbal communication skills, with the ability to explain technical concepts to technical and non-technical stakeholders
• Experience collaborating with or informally guiding peers on technical topics
• U.S. citizenship is required
• Ability to obtain a Top Secret clearance
• Active Top Secret/SCI clearance
• Experience building GenAI-powered applications using modern AI platforms and frameworks, including RAG pipelines, agent-based workflows, or automation systems that streamline engineering or mission processes
• Working knowledge of LLM fundamentals, prompt design, and systematic evaluation of model outputs
• Practical exposure to MLOps or LLMOps concepts, including experimentation tracking and performance monitoring using tools such as MLflow, LangFuse, Comet, or similar
• Background supporting Department of Defense or Intelligence Community programs