Senior AI Integration Developer

Peraton Labs is seeking a Senior AI Integration Developer to lead the design and implementation of an AI assistant capability within an existing web application in support of RF spectrum monitoring for the Department of Defense. This is a technically demanding role at the intersection of applied AI, software engineering, and operational tooling.The core focus of this position is the development of a context-aware AI assistant and the Model Context Protocol (MCP) server and tooling infrastructure that connects it to the application’s data, workflows, and services. Given the sensitive nature of the operational environment, the primary deployment target is locally-hosted models (e.g., Ollama) running in air-gapped or connectivity-constrained environments — with cloud-based LLM APIs as a secondary consideration. The right candidate understands not just how to wire up a model, but how to design tool interfaces and select or tune models that perform reliably under these constraints. It is particularly important for the candidate to take the time to properly understand the application domain and CONOPs in order to develop appropriate MCP tool chains.This individual will work closely with the broader engineering team and domain stakeholders to identify high-value AI use cases, implement and iterate on MCP tools, and evaluate and improve the quality of AI-generated outputs over time. Familiarity with the full stack is also expected, as effective AI integration requires understanding the existing system that the assistant will interact with. The core web application for this effort uses the following technologies in the stack: FastAPI backend, React frontend, and PostgreSQL database).Key responsibilities may include:Design and implement MCP server and tool interfaces that expose application data and functionality to the AI assistantDeploy and configure locally-hosted models (e.g., Ollama) for use in air-gapped or connectivity-constrained environmentsEvaluate and select local models appropriate for specific assistant tasks; assess capability and performance tradeoffs across model sizes and familiesIntegrate LLM inference endpoints into the application backend and frontend, supporting both local and cloud-hosted models where applicableDevelop and refine system prompts, tool definitions, and context management strategies optimized for the capabilities and limitations of local modelsDefine and execute evaluation frameworks to assess AI output quality, tool call accuracy, and assistant reliabilityIdentify high-value use cases in collaboration with domain experts and stakeholders; translate them into concrete AI tool designsMaintain and extend backend Python and TypeScript/Node.js services supporting AI functionality or work closely with other engineers to do soDocument AI architecture, tool schemas, prompt strategies, model configurations, and evaluation resultsStay current with the evolving local model and MCP ecosystem landscapeRequired Qualifications:Minimum of 8 years of experience with a Bachelor's degree; 6 years with a Master's degree; or 3+ years with a PhD in Computer Science, Computer Engineering, Information Systems, or similar/related programs.Experience deploying and working with locally-hosted models (e.g., Ollama, llama.cpp, or similar) in offline or restricted network environmentsStrong understanding of the Model Context Protocol (MCP) — server design, tool schemas, and client-server communicationExperience with prompt engineering and system prompt design, particularly tuning prompts for the capabilities of smaller or quantized local modelsExperience with agentic AI patterns — multi-step reasoning, tool chaining, and error recoveryFamiliarity with model selection tradeoffs — capability, context length, quantization, and hardware requirementsAbility to design structured evaluation approaches for AI output quality and tool performanceStrong judgment about AI assistant UX — what makes a tool call well-designed, when an AI response is actually useful, etc.Proficiency in Python; familiarity with FastAPI or comparable frameworksExperience with Docker and containerized service developmentFamiliarity with TypeScript/Node.js for server-side developmentExperience with React for implementing AI assistant or chat UI componentsExperience with Git, CI/CD pipelines, and automated testing infrastructureClear communicator across technical and non-technical audiencesMust be a U.S. Citizen with ability to obtain/maintain a Secret clearanceCandidate should be local and able to work within our Red Bank, NJ; Basking Ridge, NJ; or Silver Spring, MD locationsDesired Qualifications:Experience with LangChain, LangGraph, and FastMCPExperience with GPU hardware performance benchmarking on constrained edge-deployed infrastructureFamiliarity with performance evaluation including: tool selection accuracy, parameter extraction correctness, multi-step reasoning success rates, response quality scoring, latency benchmarking, and regression testing across model versionsExperience fine-tuning or adapting open-weight models for domain-specific tasksFamiliarity with RAG (retrieval-augmented generation) architectures and vector databases in offline or on-premise deploymentsBackground in RF, spectrum management, spectrum sensing, software defined radios, propagation modeling, signal processing, or related DoD domainsCybersecurity awareness in the context of AI systems and DoD environmentsExperience with cloud-hosted LLM APIs as a secondary deployment targetActive Secret (or Higher) ClearancePeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Created: 2026-03-25