Generative AI Engineering Intern (Graduate)

Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking motivated Generative AI Engineering Interns to support Internal Research and Development initiatives focused on AI/ML-driven platforms for Operations in the Information Environment.

Responsibilities:

• 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

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 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)
• 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