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CACI International Inc

AI / Machine Learning Internship - Summer 2026

Reposted 5 Days Ago
Be an Early Applicant
In-Office
2 Locations
40K-80K Annually
Internship
In-Office
2 Locations
40K-80K Annually
Internship
Summer internship contributing to development, evaluation, and deployment of generative AI and agent systems. Work includes LLM integration, prompt engineering, RAG, experimentation, testing, documentation, and collaboration with ML engineers and stakeholders under senior guidance.
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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: 3/23/2026

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 (LangChain, LlamaIndex, 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, TensorFlow, PyTorch)
  • 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

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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.

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.

Top Skills

Jupyter
Langchain
Llamaindex
Llms
Python
PyTorch
Scikit-Learn
TensorFlow

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