AI/ML Engineer

About The Company

CyOne is a mission-focused software company dedicated to delivering advanced capabilities to the U.S. Department of War and allied partners. Our primary platform, WISRD (Wide-area ISR Discovery), is designed to enable multi-domain situational awareness, provide intelligence support for targeting, and facilitate ISR orchestration across cloud, on-premise, and tactical edge environments. WISRD is actively deployed in operational environments and aligns 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 scenarios.

About The Role

CyOne is seeking a highly skilled AI / ML Engineer to lead the development of an AI-enabled assistant embedded within the WISRD platform. This role involves designing, implementing, and deploying AI capabilities that allow analysts and operators to query mission data, navigate workflows, generate insights, and trigger actions through natural language interfaces. The ideal candidate will have a strong background in building production AI systems that operate effectively across enterprise and tactical edge environments, including disconnected, degraded, intermittent, and low-bandwidth (DDIL) conditions. As the technical lead for AI within WISRD, you will own the architecture, development, and deployment of AI solutions, ensuring they meet operational, security, and performance requirements.

Qualifications

• Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines in production environments
• Proficiency with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate
• Strong understanding of embeddings and semantic search techniques
• Experience fine-tuning Large Language Models (LLMs) using LoRA, QLoRA, or similar methods with frameworks like Hugging Face
• Proficiency in Python and modern backend frameworks such as FastAPI
• Experience working with relational databases like PostgreSQL
• Knowledge of REST APIs and streaming technologies
• Hands-on experience with Docker and containerized deployments
• Familiarity with Kubernetes and distributed systems architecture
• Experience with model serving frameworks such as vLLM, TGI, or Ollama
• Experience working with GPU-based compute environments
• Minimum of 3+ years in AI/ML engineering or related fields, with a track record of deploying AI/LLM-based systems to production
• Ability to work independently in fast-paced, dynamic environments

Responsibilities

• Design and develop AI capabilities that enable natural language querying of ISR data, generation of insights, and automation of mission workflows
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines based on structured and unstructured operational data
• Implement and optimize vector search, embedding pipelines, and hybrid retrieval strategies to ensure high accuracy and reliability
• Build and support a provider-agnostic LLM integration layer supporting both enterprise AI services and self-hosted models
• Design AI systems capable of functioning effectively in DDIL environments, ensuring robustness and resilience
• Lead model selection, fine-tuning (LoRA/QLoRA), and evaluation processes using domain-specific datasets
• Develop AI backend services and APIs, including orchestration, context management, and intent parsing
• Integrate AI functionalities into the WISRD platform for real-time user interaction and workflow automation
• Establish and maintain MLOps pipelines, monitor model performance, and implement continuous improvements
• Ensure compliance with security standards, data handling protocols, and multi-enclave operational requirements

Benefits

• Competitive salary aligned with experience, ranging from $165,000 to $185,000 annually
• Comprehensive benefits package including medical, dental, and vision insurance
• Paid time off and holiday leave
• Opportunities for professional growth, skill development, and career advancement
• Hybrid work environment with Maryland preferred location; remote options available for highly qualified candidates

Equal Opportunity

CyOne is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, or any other protected status in accordance with applicable laws and regulations.