Generative AI Specialist / AI & ML Developer

Peraton is a next-generation national security company that drives missions of consequence across the globe. They are currently seeking an experienced Generative AI Specialist to contribute to AI/ML-driven platforms for Operations in the Information Environment, focusing on developing innovative generative AI solutions for defense applications. Responsibilities: Design, develop, and optimize generative AI solutions leveraging GPT-4, Claude, Gemini, and Azure OpenAI Service, including advanced prompt engineering, fine-tuning strategies, and retrieval-augmented generation (RAG) implementations; Implement agentic LLM architectures with structured output schemas (JSON/GeoJSON), chain-of-thought/chain-of-debate methodologies, and multi-agent orchestration to generate reliable, mission-relevant outputs; Develop and maintain prompt libraries, evaluation frameworks, and quality assurance pipelines to ensure consistent, accurate, and secure AI-generated content for defense applications; Build and integrate generative AI capabilities into existing platforms, ensuring seamless interoperability with DoW systems including Maven, C2IE, and IRIS through well-documented APIs; Conduct research and experimentation on emerging generative AI techniques including multimodal models, synthetic data generation, and AI-assisted analysis for information operations; Collaborate with cross-functional teams to translate COCOM operational Qualifications: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or related technical field and 5 years of related experience. Additional 4 years of equivalent professional experience will be considered in lieu of the degree requirement; Minimum of 3 years of experience in software development or data science, with at least 2 years focused specifically on generative AI, LLM applications, or natural language processing (NLP); Demonstrated hands-on expertise with foundation models (GPT-4, Claude, Gemini, Llama, Mistral) including prompt engineering, few-shot learning, fine-tuning, and API integration; Strong proficiency in Python with experience in LLM frameworks and libraries (LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Anthropic API); Experience implementing retrieval-augmented generation (RAG) systems including vector databases (Pinecone, Weaviate, ChromaDB, pgvector), embedding models, and semantic search; Familiarity with cloud platforms (AWS, Microsoft Azure) and experience deploying AI/ML models in production environments, including Azure OpenAI Service; Understanding of AI safety, responsible AI principles, and techniques for mitigating hallucinations, bias, and prompt injection vulnerabilities; Experience with version control (Git), CI/CD pipelines, and collaborative development practices in DevSecOps environments; U.S citizenship required; Ability to obtain a Secret security clearance; Ability to obtain a final TS/SCI security clearance; Valid U.S. passport required for potential OCONUS travel to customer sites Required Skills: Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI Workflows, Python, LLM Frameworks, Libraries, Retrieval-Augmented Generation (RAG), Vector Databases, Cloud Platforms AWS, Cloud Platforms Microsoft Azure, AI Safety, Responsible AI, Version Control (Git), CI/CD Pipelines, DevSecOps, Model Fine-Tuning, Reinforcement Learning from Human Feedback (RLHF), Multimodal AI Models, MLOps Practices, Geospatial Data Formats, Visualization Libraries, REST APIs