Responsibilities
Peraton is hiring: Generative AI Specialist / AI & ML Developer
Location: Remote
About the Role
- Peraton is seeking an experienced Generative AI Specialist to support high-impact Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE).
- This role is central to delivering advanced generative AI capabilities supporting COCOM information operations across CENTCOM, NORTHCOM, INDOPACOM, AFRICOM, and EUCOM.
- You will drive innovation in LLMs, agentic AI workflows, and generative AI application development—directly influencing Peraton ’s competitive position in the defense AI landscape.
Responsibilities:
You will:
- Design and optimize generative AI solutions using GPT 4, Claude, Gemini, and Azure OpenAI, including prompt engineering, fine-tuning, and retrieval augmented generation (RAG).
- Implement agentic LLM architectures with structured output (JSON/GeoJSON), chain-of-thought/chain-of-debate methods, and multi-agent orchestration.
- Build and maintain prompt libraries, evaluation frameworks, and QA pipelines for defense-grade AI content.
- Integrate generative AI into existing platforms via well-documented APIs, ensuring interoperability with DoD systems including Maven, C2IE, and IRIS.
- Research emerging generative AI techniques including multimodal models, synthetic data generation, and AI-assisted analysis for information operations.
- Translate COCOM operational requirements into deployable AI solutions; support TTX events and platform demonstrations.
- Implement responsible AI practices including bias detection, validation, hallucination mitigation, and HITL workflows.
- Support MVP-aligned milestone delivery, contributing to TRL progression and ROI measurement.
- Document novel prompting techniques, model configurations, and workflows that may constitute IP or trade secrets.
Key Technologies & Platforms: GPT 5, Claude, Gemini, Azure OpenAI Service, LangChain, LlamaIndex, Hugging Face Transformers, Python, Pinecone, ChromaDB, Weaviate, pgvector, AWS, Azure, Docker, Kubernetes, REST APIs, JSON/GeoJSON, Plotly, D3.js, IRIS, Maven, C2IE, OMEGA, FedRAMP IL2–4.
Qualifications
Minimum Qualifications:
- An additional 4 years will be considered in lieu of the bachelors degree requirement.
- 3+ years in software development or data science, including 2+ years focused on generative AI, LLMs, or NLP.
- Hands-on experience with foundation models (GPT 4, Claude, Gemini, Llama, Mistral) including prompt engineering, few-shot learning, fine-tuning, and API integration.
- Strong Python skills; experience with LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs.