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Benefits & Perks
•Healthcare
•Wellness
•Financial benefits
•Retirement
•Family support
•Continuing education
•Flexible time off
•Healthcare
•Gym
•401k
Required Skills
Python
Machine Learning
Data structures
Algorithms
- Job Title: AI / Machine Learning Internship
- Summer 2026
Job Category: Intern/Co-op
Time Type: Part time
Minimum Clearance Required to Start: None
Employee Type: Part-Time On-Call
Percentage of Travel Required: None
Type of Travel: None
Anticipated Posting End: 5/1/2026
The Opportunity:At CACI, we are proud of our innovative workforce and the technology we deliver to our enterprise and mission customers. Want to work for a company that is recognized as a top workplace across the country? We're searching for AI/ML interns to join our team for the summer of 2026! The internship will begin in May and last 10-12 weeks. You will be working a hybrid schedule with the expectation of being on-site 2-3 days a week and working remotely on the remaining days.
Responsibilities:You will serve as a member of the AI/ML Acceleration team, contributing to the development, evaluation, and deployment of generative AI solutions and AI agent systems. You will work on activities related to LLM integration, prompt engineering, agent development, and GenAI experimentation by collaborating closely with ML engineers, data scientists, stakeholders, and end users.
- Developing and experimenting with generative AI applications and AI agents, including prompt engineering, LLM integration, agent workflow design, and evaluation using Python and relevant frameworks (Lang Chain, Llama Index, or similar) with guidance from senior team members
- Contributing to the improvement and optimization of AI agent systems, LLM-powered applications, and generative AI pipelines, including prompt refinement, response quality evaluation, agent reasoning improvements, and experimentation with different models and orchestration approaches
- Analyzing GenAI and agent-related problems and supporting the creation of solutions involving prompt design, agent architecture, retrieval-augmented generation (RAG) systems, evaluation frameworks, tool integration, and deployment strategies under the guidance of senior team members
- Supporting product quality and timeliness by conducti ng agent testing, validating LLM outputs, assessing response accuracy and safety, documenting experiments and prompt iterations, participating in code reviews, and providing status updates on assigned tasks and learning progress
- Exploring and evaluating emerging AI tools, models, and techniques to identify opportunities for innovation and improvement in existing AI/ML solutions
- Creating documentation, demonstrations, and training materials to communicate GenAI capabilities, agent functionalities, and technical implementations to both technical and non-technical audiences
Qualifications:
Required:
- Basic Python programming knowledge Introduction to or coursework using any ML libraries (e.g., scikit-learn, Tensor Flow, Py Torch)
- Familiarity with data structures and basic algorithms AI/ML Knowledge
- Understanding of fundamental ML concepts from coursework (e.g., what supervised/unsupervised learning means)
- Interest in AI/ML applications and willingness to learn
- Exposure to basic statistical concepts
Desired:
-
Has completed a basic ML project in class or independently
-
Familiarity with Jupyter notebooks
-
Basic understanding of what LLMs or AI agents are
-
Curiosity about emerging AI tools and applications
-
Current sophomore or junior pursuing degree in Computer Science, Data Science, Statistics, Mathematics, or related field
-
Has taken or is taking introductory AI/ML orstatistics courses
-
What You Can Expect:
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.
Your potential is limitless. So is ours.
_________________________________________________________________________
Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. 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.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$39,900-$79,900
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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About CACI

CACI
PublicCACI International Inc. is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides services to many branches of the US federal government including defense, homeland security, intelligence, and healthcare.
10,001+
Employees
Northern Virginia
Headquarters
Reviews
4.1
15 reviews
Work Life Balance
4.0
Compensation
4.5
Culture
3.9
Career
4.3
Management
3.7
79%
Recommend to a Friend
Pros
Opportunities for continuous learning and growth
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Cons
Fast-paced environment with tight deadlines
Internal politics in some teams
Some legacy systems that need modernization
Salary Ranges
2 data points
Junior/L3
Junior/L3 · Systems Admin
1 reports
$75,000
total / year
Base
$75,000
Stock
-
Bonus
-
$75,000
$75,000
Interview Experience
2 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview Process
1
Phone Screen
2
Technical Interview
3
Interview
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