AI/ML Engineering Co-op - Spring 2027
About The Position
CACI is offering an AI/ML Engineering Co-op opportunity for students currently enrolled at Drexel University. Based in King of Prussia, Pennsylvania, the co-op provides hands-on experience applying AI and machine learning concepts to real-world challenges while working with software developers and collaborating with technical experts and organizational leaders. The role includes mentorship from team members. The AI/ML program explores advanced Retrieval-Augmented Generation (RAG) techniques, text embedding models and techniques, embedding-model fine-tuning, Model Context Protocol (MCP) server development, and synthetic data generation. The position is part-time and on-call.
Requirements
- Currently enrolled in a degree program at Drexel University.
- Legally authorized to work in the United States without employer sponsorship now or at any time in the future.
- Ability to successfully complete a pre-employment drug screening.
- Proficiency in at least one programming language, such as Java, Python, or C++.
- Familiarity with at least one unsupervised and one supervised machine learning technique.
- Proficiency in data science and data analysis.
- Strong communication skills.
Nice To Haves
- Experience training and developing machine learning models.
- Experience with Large Language Models (LLMs) and vector databases such as ChromaDB or Weaviate.
- Experience using agentic coding assistants.
- Experience with PyTorch, TensorFlow, and/or Keras.
- Experience with cloud infrastructures; AWS or C2S preferred.
- Experience working within an Agile framework for feature development.
- Experience with containerization; Docker preferred.
- Experience developing performant algorithms in various domains.
Responsibilities
- Work with a diverse team to research and develop AI/ML models.
- Explore advanced Retrieval-Augmented Generation (RAG) techniques.
- Explore text embedding models and techniques.
- Fine-tune embedding models.
- Build a Model Context Protocol (MCP) server.
- Explore synthetic data generation techniques.
- Attend regular meetings with mentor(s).
Benefits
- Flexible time off benefit.
- Learning and development opportunities and resources.
- Healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed
