Minimum Qualifications
- 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
Preferred Qualifications
- 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‑non‑technical translation and customer demos Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI)
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.
Peraton is hiring: Generative AI Specialist / AI & ML Developer
Location: Remote
Required: U.S. citizenship and the ability to obtain and maintain a U.S. Government security clearance (Secret → TS/SCI) is required.
Additional Requirement: Current, valid U.S. passport (potential OCONUS travel)
About the Role
- 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.
In this role, you will:
- 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.