Software Engineer, AI/ML Intern - Summer 2026

CACI•Denver, CO

1d•Hybrid

About The Position

We are seeking a Software Engineer - AI/ML Intern to support an applied R&D problem set focused on rapid prototyping and experimentation across modern AI/ML methods. This internship is designed for someone who enjoys solving ambiguous, real-world problems and turning ideas into working prototypes. High-performing interns may have the opportunity to transition into our Mission & Engineering Support (M&ES) AI Expeditionary Team, supporting customer-facing, mission-driven AI delivery.

Requirements

Currently pursuing a BS/BA (or MS) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Coursework or hands-on experience in AI/ML concepts (e.g., classification, clustering, deep learning basics, evaluation).
Working knowledge of Python.
Willing to work onsite with possible hybrid schedule
Willing and able to obtain a Top Secret or TS-SCI clearance.
Familiarity with at least one ML/DL library (e.g., PyTorch, TensorFlow, scikit-learn).
Curiosity, strong problem-solving skills, and the ability to work effectively in a fast-moving environment with evolving requirements.

Nice To Haves

Working knowledge of the Software development life cycle (including front and back end)
Working knowledge of containerization tools like Docker and orchestration platforms like Kubernetes for deploying and managing AI applications
Working knowledge of Java, C++, or C#
AWS Experience or certification (Developer, DevOps, Architect, or equivalent)
An understanding of Gen AI tools, techniques, and platforms.
Experience with deployment/scaling of machine learning models
Experience in integrating multiple applications
Experience with development in microservice-based architecture
Security+ Certification
Prior internship/project experience delivering prototypes to stakeholders.
Working knowledge with databases such as PostgreSQL, MySQL, MongoDB, and NoSQL databases, and message passing middleware such as Redis and Kafka
Working knowledge designing, developing, documenting, testing, and debugging software that contains logical and mathematical solutions to problems.

Responsibilities

Work within a small, cross-functional team to research, prototype, and evaluate AI/ML approaches for a defined R&D problem.
Implement experiments using a mix of open-source tools and internal frameworks.
Assist with developing prototype applications that may include LLMs/NLP, computer vision, data science workflows, or lightweight backend services.
Document assumptions, experiment results, and recommendations in a way that makes the work repeatable and transferable.
Help translate technical findings into practical next steps for productization or mission integration.