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Peraton

Runs and secures technology for federal agencies

Generative AI Specialist / AI & ML Developer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeJessup, MD, USA

About the Job

Requirements

  • A bachelor's degree in a related technical field and at least five years of relevant experience; an additional four years of experience may substitute for the bachelor's degree.
  • At least three years of software development or data science experience, including at least two years focused on generative AI, large language models, or natural language processing.
  • Hands-on experience with foundation models including GPT 4, Claude, Gemini, Llama, and Mistral, including prompt engineering, few-shot learning, fine-tuning, and API integration.
  • Strong Python skills and experience with LangChain, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
  • Experience building retrieval augmented generation systems using vector databases such as Pinecone, Weaviate, ChromaDB, or pgvector.
  • Cloud experience with AWS or Azure and 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 is required.
  • Ability to obtain a final TS/SCI with Poly security clearance.
  • A current, valid U.S. passport for potential OCONUS travel.

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.
  • Implement agentic large language model architectures with structured outputs such as JSON and GeoJSON, chain-of-thought or chain-of-debate methods, and multi-agent orchestration.
  • Build and maintain prompt libraries, evaluation frameworks, and quality assurance pipelines for defense-grade AI content.
  • Integrate generative AI into existing platforms through documented APIs, ensuring interoperability with DoD systems including Maven, C2IE, and IRIS.
  • Research emerging generative AI techniques, including multimodal models, synthetic data generation, and AI-assisted analysis for information operations.
  • Translate COCOM operational requirements into deployable AI solutions and support TTX events and platform demonstrations.
  • Implement Responsible AI practices, including bias detection, validation, hallucination mitigation, and human-in-the-loop workflows.
  • Support MVP-aligned milestone delivery, contributing to technology readiness level progression and return-on-investment measurement.
  • Document novel prompting techniques, model configurations, and workflows that may constitute intellectual property or trade secrets.

Desired Qualifications

  • A master's degree.
  • Experience with agentic AI architecture, multi-agent workflows, and large language model tool use.
  • Hands-on experience with fine-tuning, reinforcement learning from human feedback, direct preference optimization, LoRA, or QLoRA.
  • Familiarity with multimodal models and defense or intelligence applications.
  • Experience with IRIS, OMEGA, or similar operational platforms.
  • Background supporting information operations, psychological operations, influence analysis, or COCOM operations.
  • Knowledge of MLOps, A/B testing, and large language model evaluation frameworks such as RAGAS and DeepEval.
  • Experience with synthetic data generation, simulation, or Monte Carlo methods.
  • Understanding of geospatial data formats such as GeoJSON and KML, and visualization tools such as Plotly and D3.js.
  • Relevant cloud or AI certifications, including AWS, Azure, Google, or DeepLearning.AI.
  • Communication skills for translating technical concepts to nontechnical audiences and conducting customer demonstrations.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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