Job Details

Location Hybrid (Maryland preferred) Remote considered for highly qualified candidates Employment Type Full-Time Clearance Requirement Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Company Overview CyOne is a mission-focused software company delivering advanced capabilitiesto the U.S. Department of War and allied partners. Our flagship platform, WISRD (Wide-area ISR Discovery) , enables multi-domain situational awareness, intelligence support to targeting, and ISR orchestration across cloud, on-premise, and tactical edge environments. WISRD is actively deployed in operational environments and aligned with emerging Next Generation Command and Control (NGC2) initiatives. Our platform integrates and fuses data from ISR sensors, mission systems, and partner sources to support real-time decision-making in complex operational environments. Position Overview CyOne is seeking an AI / ML Engineer to lead the development of an AI-enabled assistant embedded within the WISRD platform. This capability will enable analysts and operators to query mission data, navigate workflows, generate insights, and trigger actions using natural language. This is a high-impact, hands-on engineering role focused on building production AI systems that operate across enterprise and tactical edge environments, including disconnected, degraded, intermittent, and low-bandwidth (DDIL) conditions. The selected candidate will serve as the technical lead for AI capabilities within WISRD , owning architecture, implementation, and delivery from concept through operational deployment. Key Responsibilities Design and build AI capabilities that enable users to query ISR data, generate insights, and trigger mission workflows through natural language Develop and maintain Retrieval-Augmented Generation (RAG) pipelines grounded in structured and unstructured operational data Implement and optimize vector search, embedding pipelines, and hybrid retrieval strategies to ensure accurate, reliable outputs Build and maintain a provider-agnostic LLM integration layer supporting both enterprise AI services and self-hosted models Design AI systems that operate effectively in DDIL (disconnected, degraded, intermittent, low-bandwidth) environments Lead model selection, fine-tuning (LoRA/QLoRA), and evaluation using domain-specific datasets Develop AI backend services and APIs, including orchestration, context management, and intent parsing Integrate AI capabilities into the WISRD platform for real-time user interaction and workflow automation Establish MLOps pipelines, monitor model performance (accuracy, latency, cost), and continuously improve system quality Ensure AI solutions meet security, data handling, and multi-enclave operational requirements Work Environment Small, collaborative engineering team Direct interaction with developers, DevOps engineers, and mission subject matter experts Agile development environment with rapid iteration cycles Opportunity to support real-world operational deployments Compensation & Benefits Competitive salary based on experience Comprehensive benefits package (medical, dental, vision) Paid time off and holidays Opportunities for professional growth and advancement Compensation details: 165000-185000 Yearly Salary PIc0e52c7ac9a6-25448-40263259aa415a4b-8b21-40fc-a65c-70d2b25ca29a