Artificial Intelligence and Machine Learning Systems Engineer

Sonalysts, Inc. is seeking a highly skilled Artificial Intelligence and Machine Learning Systems Engineer with deep expertise in

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI, AI agents, and Model Context Protocol.

The ideal candidate should have experience in designing, developing, and optimizing AI-powered applications and workflows with a strong foundation in cybersecurity best practices.

Who are we?

Sonalysts, Inc. is a small, 100% employee-owned business (ESOP) that supports a very diverse set of customers. While the company was originally founded in 1973 with a focus on sonar analysis for the Navy (hence the name), Sonalysts has since expanded into a variety of other Defense and Commercial spaces. With current contracts supporting the Navy, Air Force, Army, and many other customers, Sonalysts leverages the skills and knowledge of its employee owners to help solve the Department of Defenses most challenging problems while providing the best benefit to our customers. Sonalysts has a diverse and capable workforce comprised of former and retired service members from all branches of the military, and professionals with a wide range of commercial and technical backgrounds. From software development to operations analysis, doctrinal development, engineering, wargaming, targeted knowledge elicitation, or large group facilitation, Sonalysts can meet any challenge.

A small, central corporate structure coupled with a largely de-centralized approach to project management enables Sonalysts to compete with larger Defense Contractors in providing rapid, innovative solutions to meet customer needs while remaining agile and entrepreneurial at heart. Our employee-owners lead and support existing projects while also developing new business and winning new work.

If you are looking to use your technical knowledge to solve challenging problems for the military while benefiting from the flexibility and empowerment of being a contractor or potential future leader in a small business, then Sonalysts may be the place for you.

Key Responsibilities:

• Design and implement scalable LLM-based architectures for AI-powered applications.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for improved model accuracy.
• Work with Generative AI models to enhance automated decision-making systems.
• Integrate and deploy AI models using AI Agents, Model Context Protocol, and retrieval strategies.
• Develop automation workflows using N8N, Pydantic, or other AI workflow tools.
• Optimize and fine-tune AI/ML models for performance and efficiency.
• Utilize GPU acceleration and frameworks like TensorFlow, PyTorch for large-scale AI workloads.
• Implement secure coding practices and cybersecurity protocols in all AI/ML development workflows.
• Ensure secure data handling, model access control, and compliance with data privacy regulations.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Research and implement state-of-the-art advancements in LLMs, multimodal AI, and generative systems.

Required Qualifications and Experience:

• Must be a U.S. citizen, eligible for a U.S. Department of Defense (DoD) SECRET security clearance*
• Bachelor's degree in Computer Science, AI, Machine Learning, Cybersecurity, or a related field.
• 3 or more years of professional experience that includes developing and integrating LLMs, RAG, and Generative AI based solutions.
• Strong problem-solving skills and ability to work in fast-paced, AI-driven environments.

Desired Experience:

US Navy Combat Systems: Proven experience working with US Navy combat systems, specifically applying systems engineering and software development principles to mission-critical defense environments.

**Containerization and Orchestration:* Deep technical proficiency in software containerization technologies, including Docker, Kubernetes, and OpenShift, for the deployment and scaling of complex software architectures.

Experience with vector databases, knowledge retrieval strategies, and fine-tuning AI models.

Knowledge of cloud-based AI deployment (AWS, GCP, Azure) with secure infrastructure practices.

Familiarity with open-source AI tools and frameworks for custom AI solution development.

Knowledge of compliance standards such as DoD Risk Management Framework (RMF), NIST, and ISO/IEC 27000 series.

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