Generative AI Specialist – AI & ML Developer

Peraton

Generative AI developer building LLM, RAG, and agentic AI capabilities for Peraton’s defense and national security missions. Supporting COCOM information operations with production-ready, responsible AI solutions.

Posted 8/4/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $135,000 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing generative AI solutions, with a strong focus on implementing LLM architectures and ensuring interoperability with defense systems. Proficient in responsible AI practices, prompt engineering, and deploying AI/ML models in production environments.

Highest-signal resume keywords

Generative AI Solutions DesignLLM Architecture ImplementationPrompt EngineeringPython ProgrammingAI Safety Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AILLMsNLPPrompt EngineeringFew-Shot LearningFine-TuningAPI IntegrationAI/ML Model DeploymentData ScienceSoftware Development

Tools & Technologies

GPT-4ClaudeGeminiLangChainHugging FaceOpenAI APIPineconeWeaviateChromaDBAWS

Certifications & Qualifications

U.S. CitizenshipSecret ClearanceTS/SCI Clearance

Industry Keywords

Defense-Grade AIMulti-Agent OrchestrationBias DetectionHallucination MitigationHITL WorkflowsMVP-Aligned Milestone DeliveryTRL ProgressionROI Measurement

Tech Stack

Tools & technologies

AWSAzureCloudPythonTypeScript

About the role

Key responsibilities & impact

Design and optimize generative AI solutions using GPT-4/5, Claude, Gemini, and Azure OpenAI
Implement agentic LLM architectures with structured outputs, 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 through documented APIs and ensure interoperability with DoD systems
Research emerging generative AI techniques, including multimodal models, synthetic data generation, and AI-assisted information-operations analysis
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, TRL progression, and ROI measurement
Document novel prompting techniques, model configurations, and workflows that may constitute intellectual property or trade secrets

Requirements

What you’ll need

Bachelor's degree in a related technical field plus 5 years of relevant experience, or an additional 4 years of experience in substitution 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 GPT-4, Claude, Gemini, Llama, and Mistral, including prompt engineering, few-shot learning, fine-tuning, and API integration
Strong Python skills
Experience with LangChain, LlamaIndex, Hugging Face, and OpenAI/Anthropic APIs
Experience building RAG systems using Pinecone, Weaviate, ChromaDB, or pgvector
AWS and Azure cloud experience
Experience 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

Benefits

Comp & perks

Base salary of $135,000–$216,000 per year
Potential eligibility for overtime
Potential eligibility for shift differential
Potential eligibility for a discretionary bonus
Equal opportunity employment, including disability and protected veterans