Generative AI Specialist / AI & ML Developer

Peraton•,

1d•$135,000 - $216,000•Remote

About The Position

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.

Requirements

Bachelor’s degree in a related technical field + 5 years relevant experience– (An additional 4 years of experience may substitute for the degree)
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
Experience building RAG systems using vector databases (Pinecone, Weaviate, ChromaDB, pgvector)
Cloud experience (AWS, Azure) and deploying AI/ML models in production
Understanding of AI safety, hallucination mitigation, bias reduction, and prompt‑injection protection
Experience with Git, CI/CD, and DevSecOps practices
U.S. citizenship required
Ability to obtain Secret and final TS/SCI clearances
Current, valid U.S. passport for potential OCONUS travel

Nice To Haves

Master’s degree
Experience with agentic AI architectures, multi-agent workflows, and LLM tool-use
Hands-on experience with fine-tuning, RLHF, DPO, LoRA/QLoRA
Familiarity with multimodal models and defense/intelligence applications
Experience with IRIS, OMEGA, or similar operational platforms
Background supporting IO, PSYOP, influence analysis, or COCOM operations
Knowledge of MLOps, A/B testing, and LLM evaluation frameworks (RAGAS, DeepEval)
Experience with synthetic data generation, simulation, or Monte Carlo methods
Understanding of geospatial data formats (GeoJSON, KML) and visualization tools (Plotly, D3.js)
Strong communication skills for technical-to-nontechnical translation and customer demos
Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI)

Responsibilities

Design and optimize generative AI solutions using GPT‑4/5, Claude, Gemini, and Azure OpenAI, including prompt engineering, fine-tuning, and retrieval augmented generation (RAG).
Implement agentic LLM architectures with structured outputs (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 documented APIs, ensuring interoperability with DoD systems (Maven, C2IE, IRIS).
Research emerging generative AI techniques (multimodal models, synthetic data generation, 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.