Agentic AI Software Engineer
CACI International1 day ago
Base Salary
$82k - $172k/yr
Responsibilities
- Design, develop, and maintain scalable software solutions for advanced agentic AI capabilities.
- Architect and implement autonomous agent systems using agentic workflows, reasoning engines, and multi-agent collaboration.
- Integrate AI agents with enterprise applications and distributed systems.
- Manage the software development lifecycle from concept and design through deployment and sustainment.
- Build maintainable, testable, and efficient software, including microservices and RESTful APIs.
- Collaborate with engineers, architects, product managers, and mission stakeholders to deliver new capabilities.
- Participate in sprint planning, stand-ups, technical reviews, and retrospectives.
- Develop and execute unit, integration, and system tests.
- Troubleshoot and optimize performance across cloud and on-premise environments.
- Evaluate emerging AI frameworks, tools, and engineering approaches.
Requirements
- Bachelor’s degree in Computer Science or a related technical field.
- At least 5 years of professional software engineering experience using object-oriented programming languages, with significant Python experience.
- Understanding of the full software development lifecycle, including requirements analysis, design, development, testing, deployment, and maintenance.
- Proficiency with Git and experience with a modern source control platform such as GitLab, GitHub, or Bitbucket, including branching, code review, and CI/CD pipelines.
- Experience with Jira and Confluence or equivalent issue-tracking and documentation tools.
- Experience developing microservices and RESTful APIs.
- Experience working in Agile/Scrum environments.
- Hands-on experience building with LLMs or agents in production systems, prototypes, or substantial personal projects.
- Hands-on experience with an agent framework such as Microsoft Agent Framework, LangGraph, CrewAI, AutoGen, or Pydantic AI.
- Familiarity with MCP, A2A, tool-use, or function-calling in LLM-based systems.
- Experience with RAG architectures, vector databases, or agent memory systems.
- Experience with prompt engineering, evaluation frameworks, or tuning LLM systems for reliability.
- Active TS/SCI clearance with an adjudicated polygraph.
- Ability to collaborate across cross-functional engineering teams and communicate and solve problems effectively.
- Cloud experience with AWS or Azure, Kubernetes and Helm deployment experience, frontend experience with React or Angular, and familiarity with JavaScript or TypeScript are desired.
Benefits
- Full-time regular employee position with up to 10% local travel.
- Flexible time off benefit.
- Healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
- Learning and development resources and opportunities for continuous growth.
Tech Stack
Categories
About CACI International
At CACI International Inc (NYSE: CACI), our 27,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. We are a company of good character, relentless innovation, and long-standing excellence. Our culture drives our success and earns us recognition as a Fortune World's Most Admired Company. CACI is a member of the Fortune 500™ Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index. For more information, visit us at www.caci.com. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities