Generative AI Engineering Intern (Graduate)

Peraton is seeking motivated Generative AI Engineering Interns (Graduate) supporting AI/ML-driven platforms for Operations in the Information Environment (OIE). Interns will gain hands-on experience developing cutting-edge generative AI solutions, working with senior engineers and data scientists, and supporting mission-critical information operations in a defense technology environment. The internship offers remote work, mentorship, networking, and potential pathways to full-time employment.

Location: Remote (US)

Salary: $35.00/hour

Responsibilities

• Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and Azure OpenAI Service.
• Support prompt engineering efforts including designing, testing, and refining prompts.
• Contribute to the implementation of retrieval-augmented generation (RAG) systems, including working with vector databases, embedding models, and semantic search pipelines.
• Conduct research on emerging generative AI techniques, foundation models, and best practices.
• Assist in building evaluation frameworks and quality assurance pipelines.
• Support documentation efforts including creating technical guides, API documentation, and prompt libraries.
• Participate in code reviews, team meetings, and Agile/Scrum ceremonies.
• Collaborate with cross-functional teams to understand operational requirements.
• Take on progressively complex responsibilities as skills develop.

Requirements

• Currently enrolled in a Master's or Ph.D. program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics, Natural Language Processing, or related field.
• Completion of at least one semester of graduate coursework prior to internship start date.
• Strong programming skills in Python, including familiarity with data science libraries (NumPy, Pandas, scikit-learn).
• Foundational understanding of machine learning, neural networks, and NLP principles.
• Exposure to large language models (LLMs) through coursework, research, or personal projects.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively.
• US Citizenship (must be able to obtain Secret clearance).

Benefits

• Remote work environment.
• Mentorship from technical leadership.
• Networking opportunities.
• Potential pathway to full-time employment.

Additional Information

• Internship is open-ended, designed to provide meaningful work experience.
• Interns work 40 hours/week during summer and 20 hours/week during the academic year, with flexibility to increase hours.
• Internship is paid at $35/hour.
• Candidates should have an interest in defense, national security, or government technology applications.