Leading provider of Information Operations (IO) and Irregular Warfare (IW) capabilities to the U.S. government. Integrates Information Related Capabilities (IRC) across multiple domains, environments, and geographic boundaries, supporting both domestic and overseas operation via Information Operations planners, intelligence analysts, cultural advisors, and linguists

Peraton is seeking motivated Generative AI Engineering Interns (Graduate) supporting Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE). Interns can support 100% remotely.

This open-ended graduate internship is designed to provide sustained, meaningful work experience throughout your academic program. Interns will work 40 hours per week during the summer and 20 hours per week during the academic year, with the flexibility to increase to 40 hours per week as schedules allow. In this role, you will gain hands-on experience developing and applying cutting-edge generative AI solutions, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI architectures within a defense technology environment. Working alongside senior engineers and data scientists, you will support mission-critical information operations for Combatant Commands (COCOMs) by translating operational requirements into secure, production-grade AI solutions. The role offers exposure to enterprise software development practices such as Agile, DevSecOps, and CI/CD, as well as work with classified and sensitive data in FedRAMP-compliant cloud environments using technologies including Azure OpenAI Service, AWS, Python, LangChain, LlamaIndex, Hugging Face, vector databases, Docker, and Git. This internship provides competitive hourly compensation, flexible and remote-friendly scheduling, dedicated mentorship, networking opportunities across Peraton’s technical leadership, and a potential pathway to full-time employment upon graduation.

Roles and responsibilities for this position include:

• Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and Azure OpenAI Service under the guidance of senior team members.
• Support prompt engineering efforts including designing, testing, and refining prompts to improve LLM output quality, accuracy, and consistency.
• 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, summarizing findings for the development team.
• Assist in building evaluation frameworks and quality assurance pipelines to measure and improve AI-generated content quality.
• Support documentation efforts including creating technical guides, API documentation, and prompt libraries.
• Participate in code reviews, team meetings, and Agile/Scrum ceremonies to gain exposure to professional software development practices.
• Collaborate with cross-functional teams to understand operational requirements and translate them into technical solutions.
• Take on progressively complex responsibilities as skills develop throughout the internship tenure.

#PeratonIntern

Required Qualifications:

• 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 technical field.
• Completion of at least one semester of graduate coursework prior to internship start date.
• Strong programming skills in Python, including familiarity with common data science libraries (NumPy, Pandas, scikit-learn).
• Foundational understanding of machine learning concepts, neural networks, and natural language processing principles.
• Exposure to large language models (LLMs) through coursework, research projects, or personal projects (e.g., using OpenAI API, Hugging Face, or similar).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively in a team environment.
• US. Citizenship required (must be able to obtain Secret clearance).

Desired Qualifications:

• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.
• Experience with prompt engineering techniques including few-shot learning, chain-of-thought prompting, or structured output generation.
• Familiarity with vector databases (Pinecone, ChromaDB, Weaviate) or embedding models for semantic search applications.
• Experience with cloud platforms (AWS, Microsoft Azure, Google Cloud) for AI/ML development or deployment.
• Research experience in NLP, generative AI, or related fields, including publications or conference presentations.
• Familiarity with responsible AI principles, AI safety, and techniques for mitigating bias and hallucinations in LLM outputs.
• Experience with version control (Git/GitHub) and collaborative development workflows.
• Interest in defense, national security, or government technology applications.
• Prior internship experience in software development, data science, or AI/ML roles.
• Coursework or projects involving multimodal AI, computer vision, or reinforcement learning.

SCA / Union / Intern Rate or Range

$35.00/hour

Target Salary Range: The rate / range per hour below represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.