Agentic AI Software Engineer
CACI International2 months 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
CACI International is a public government contractor that delivers enterprise IT, cybersecurity, electronic warfare, space, and intelligence solutions to U.S. defense, intelligence, and federal civilian customers. It provides systems engineering, software and data services, and mission support across C4ISR and business systems, primarily through long-term government contracts. Founded in 1962 and headquartered in Reston, Virginia, CACI trades on the NYSE under the ticker CACI.