AI/ML Software Engineer

CACI International•Reston, VA

19h•Hybrid

About The Position

CACI is seeking a motivated early-career Software Engineer with interest in Artificial Intelligence (AI), Machine Learning (ML), workflow automation, and modern full-stack development. This engineer will support CACI’s Enterprise Solutions Factory (ESF) and customer modernization initiatives by building AI-enabled tools, automation capabilities, backend services, and user-facing applications. The engineer will help design, develop, test, and deploy software solutions that integrate LLMs, modern APIs, automation pipelines, and data workflows. Solutions are expected to emphasize cost transparency and focus on high-leverage accelerators rather than 100% solutions as part of ESF’s engineering philosophy. You will work directly with the VP, Technology & Services, to build reusable technical solutions and accelerators that strengthen CACI’s competitive position and increase the probability of winning new work. The solutions you build will support Intelligence and DoD missions, helping analysts and operational personnel accelerate decision-making and strengthen national security outcomes. Hybrid options available!

Requirements

Typically 3 years of experience, inclusive of professional internships, in software engineering, automation, or full-stack development with a Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field; OR 7+ years of progressive software development experience in lieu of a degree.
Proficiency in at least one modern programming language (Python, Java/Kotlin, JavaScript/Node.js)
Ability to build basic REST APIs, backend routes, or data-processing workflows
Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB)
Basic frontend experience with React.js or similar
Familiarity with Git, CI/CD concepts, and unit testing
Exposure to LLMs or AI/ML tooling and an interest in applying them to real mission challenges

Nice To Haves

Project experience in full-stack development, automation, AI/ML integration, or data processing
Experience with AWS, Azure, or GCP cloud services
Experience with Docker or lightweight containerization
Experience using serverless and PaaS-first architectures
Familiarity with analytics, anomaly detection, or process improvement methodologies

Responsibilities

Design and develop backend services, APIs, and basic automation workflows
Implement LLM-based features under guidance (extraction, small automations, RAG components)
Build small applications, dashboards, ingestion scripts
Process structured and unstructured data (CSVs, spreadsheets, PDFs, logs) and troubleshoot inconsistencies
Take ownership of assigned tasks
Participate in Agile development cycles, use Git for version control, and contribute to CI/CD pipelines
Contribute to solutions that use serverless and PaaS-first patterns