Peraton · 16 hours ago
Generative AI Specialist / AI & ML Developer
United States
Full-time
Remote
Senior Level
$135K/yr - $216K/yr
5+ years expPeraton is a next-generation national security company that drives missions of consequence spanning the globe. The Generative AI Specialist will serve as a key technical contributor on Internal Research and Development initiatives focused on AI/ML-driven platforms, delivering innovative solutions supporting Combatant Command information operations.
Information TechnologyRobotics
No H1B
Security Clearance RequiredU.S. Citizen Only
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 requirements into generative AI solutions, supporting tabletop exercises (TTX) and platform demonstrations
Implement responsible AI practices including bias detection, output validation, hallucination mitigation, and human-in-the-loop (HITL) review workflows for mission-critical applications
Support quarterly milestone delivery aligned with MVP development approach, contributing to TRL progression and measurable ROI metrics
Document novel prompting techniques, model configurations, and AI workflows that may constitute intellectual property (IP) or trade secrets
Qualification
Required
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
Active Secret clearance required with eligibility for a final TS/SCI security clearance
Valid U.S. passport required for potential OCONUS travel to customer sites
Preferred
Master's degree preferred
Experience with agentic AI architectures, multi-agent systems, autonomous AI workflows, and tool-use capabilities in LLM applications
Hands-on experience with model fine-tuning, RLHF (Reinforcement Learning from Human Feedback), DPO, or parameter-efficient fine-tuning methods (LoRA, QLoRA)
Familiarity with multimodal AI models (vision-language models, image generation, audio/video processing) and their application to defense use cases
Experience with IRIS platform, OMEGA systems, or similar defense/intelligence operational platforms
Background in information operations, PSYOP, influence analysis, or supporting Combatant Commands (COCOMs) in technical capacity
Knowledge of MLOps practices including model monitoring, A/B testing, performance optimization, and LLM evaluation frameworks (RAGAS, DeepEval)
Experience with synthetic data generation, simulation environments, or Monte Carlo methods for outcome prediction
Understanding of geospatial data formats (GeoJSON, KML) and visualization libraries (Plotly, D3.js) for operational applications
Strong communication skills with ability to explain complex AI concepts to non-technical stakeholders and support customer demonstrations
Relevant certifications such as AWS Machine Learning Specialty, Azure AI Engineer, Google Cloud Professional ML Engineer, or DeepLearning.AI certifications
Benefits
Employees may be eligible for overtime
Shift differential
Discretionary bonus
Company
Peraton
Peraton Fearlessly solving the toughest national security challenges.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Thomas Terjesen
Chief Information Officer
Recent News
Washington Technology
2026-01-22
2025-09-25
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