Senior AI Integration Developer

Peraton 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. 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 solve the most daunting challenges that our customers face.

About the role

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 role focuses on developing 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. The primary deployment target is locally-hosted models (e.g., Ollama) in air-gapped or connectivity-constrained environments, with cloud-based LLM APIs as a secondary consideration.

The right candidate will design tool interfaces and select or tune models that perform reliably under these constraints, while working closely with the broader engineering team and domain stakeholders to identify high-value AI use cases and improve AI-generated outputs over time. The core web application stack includes FastAPI backend, React frontend, and PostgreSQL database.

Responsibilities

• Design and implement MCP server and tool interfaces that expose application data and functionality to the AI assistant
• Deploy and configure locally-hosted models (e.g., Ollama) for use in air-gapped or connectivity-constrained environments
• Evaluate and select local models appropriate for specific assistant tasks; assess capability and performance tradeoffs across model sizes and families
• Integrate LLM inference endpoints into the application backend and frontend, supporting both local and cloud-hosted models where applicable
• Develop and refine system prompts, tool definitions, and context management strategies optimized for the capabilities and limitations of local models
• Define and execute evaluation frameworks to assess AI output quality, tool call accuracy, and assistant reliability
• Identify high-value use cases in collaboration with domain experts and stakeholders; translate them into concrete AI tool designs
• Maintain and extend backend Python and TypeScript/Node.js services supporting AI functionality or work closely with other engineers to do so
• Document AI architecture, tool schemas, prompt strategies, model configurations, and evaluation results
• Stay current with the evolving local model and MCP ecosystem landscape

Requirements

• 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 environments
• Strong understanding of the Model Context Protocol (MCP) - server design, tool schemas, and client-server communication
• Experience with prompt engineering and system prompt design, particularly tuning prompts for the capabilities of smaller or quantized local models
• Experience with agentic AI patterns - multi-step reasoning, tool chaining, and error recovery
• Familiarity with model selection tradeoffs - capability, context length, quantization, and hardware requirements
• Ability to design structured evaluation approaches for AI output quality and tool performance
• Strong 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 frameworks
• Experience with Docker and containerized service development
• Familiarity with TypeScript/Node.js for server-side development
• Experience with React for implementing AI assistant or chat UI components
• Experience with Git, CI/CD pipelines, and automated testing infrastructure
• Clear communicator across technical and non-technical audiences
• Must be a U.S. Citizen with ability to obtain/maintain a Secret clearance
• Candidate should be local and able to work within our Red Bank, NJ; Basking Ridge, NJ; or Silver Spring, MD locations

Skills

• Experience with LangChain, LangGraph, and FastMCP
• Experience with GPU hardware performance benchmarking on constrained edge-deployed infrastructure
• Familiarity 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 versions
• Experience fine-tuning or adapting open-weight models for domain-specific tasks
• Familiarity with RAG (retrieval-augmented generation) architectures and vector databases in offline or on-premise deployments
• Background in RF, spectrum management, spectrum sensing, software defined radios, propagation modeling, signal processing, or related DoD domains
• Cybersecurity awareness in the context of AI systems and DoD environments
• Experience with cloud-hosted LLM APIs as a secondary deployment target
• Active Secret (or Higher) Clearance

Pay

Target salary range: $112,000 - $179,000. Salary is determined by various factors, including 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.

Benefits

Peraton offers eligible employees a variety of benefits including:

• Medical, dental, and vision insurance
• Life and health savings account
• Short/long term disability
• Employee Assistance Program (EAP)
• Parental leave
• 401(k) retirement plan
• Paid time off (PTO) for vacation
• Company paid holidays

A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.