2 months ago
Base Salary
$135k - $216k/yr
Responsibilities
- Design and optimize generative AI solutions using GPT 4/5, Claude, Gemini, Azure OpenAI, prompt engineering, fine-tuning, and RAG.
- Implement agentic LLM architectures with structured JSON/GeoJSON outputs, chain-of-thought or 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 through documented APIs with DoD platforms including Maven, C2IE, and IRIS.
- Research multimodal models, synthetic data generation, and AI-assisted analysis for information operations.
- Translate operational requirements into deployable AI solutions and support tabletop exercises and platform demonstrations.
- Implement responsible AI practices such as bias detection, validation, hallucination mitigation, prompt-injection protection, and human-in-the-loop workflows.
- Support MVP milestones, technology-readiness progression, ROI measurement, and documentation of prompting techniques, model configurations, and workflows.
Requirements
- Bachelor’s degree in a related technical field and at least five years of relevant experience, with an additional four years of experience permitted in place of the degree.
- At least three years of software development or data science experience, including two or more years focused on generative AI, LLMs, or NLP.
- Hands-on experience with GPT 4, Claude, Gemini, Llama, or 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 RAG systems with Pinecone, Weaviate, ChromaDB, or pgvector.
- AWS or Azure experience 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, ability to obtain and maintain a final TS/SCI with Poly clearance, and a current valid U.S. passport.
- Preferred qualifications include a master’s degree, agentic AI and multi-agent workflow experience, RLHF, DPO, LoRA/QLoRA, multimodal models, defense or intelligence applications, operational platforms, MLOps, A/B testing, LLM evaluation, synthetic data, simulation, Monte Carlo methods, geospatial formats, visualization tools, customer demonstrations, and relevant cloud or AI certifications.
Benefits
- Medical, dental, vision, life insurance, health savings account, short- and long-term disability, EAP, parental leave, 401(k), paid time off, and company-paid holidays.
- On-site work in Annapolis Junction or Jessup, Maryland, with potential OCONUS travel.
- The application period is estimated at 30 days from the posting date but may change based on business needs.
- Eligible employees may receive overtime, shift differential, and discretionary bonuses in addition to base pay.
Categories
About Peraton
Peraton builds and integrates mission systems, cyber, space, and intelligence solutions for U.S. defense, intelligence, and civil agencies. It delivers enterprise IT, satellite and terrestrial communications, and spectrum management under government contracts. Founded in 2017, the company is headquartered in Reston, Virginia and is privately held by Veritas Capital.