Software Engineer, AI/ML Intern - Summer 2026

CACI International • 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.

Benefits

• A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
• An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
• A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern