At NetSage, we are more than a government contractor—we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.
Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.
Job Description:
We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence analysis and operational decision-making. In this role, you will lead the development and operationalization of advanced AI-enabled applications integrating machine learning, large language models (LLMs), and modern software engineering practices to automate complex workflows and deliver mission-focused capabilities. The ideal candidate for this position will possess deep expertise in AI/ML technologies, software architecture, and cloud-native application development, with a proven ability to translate emerging technologies into scalable, operational solutions. Please consider applying if you meet the following qualifications.
Required Qualifications:
- TS/SCI with polygraph security clearance.
- A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of relevant experience.
- Proficiency with object-oriented languages like Java and Python.
- Experience designing and developing AI/ML applications using modern software engineering methodologies.
- Experience working with LLMs and generative AI technologies.
- Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures.
- Experience with ML techniques, including classification, clustering, collaborative filtering, semantic search, and information retrieval.
- Experience using Jupyter Notebooks.
Desired Qualifications:
- Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks.
- Experience designing autonomous or agentic AI systems.
- Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and machine learning fundamentals.
Skills Required
- Active TS/SCI with polygraph security clearance
- Degree and experience: BS in Computer Science (11 years) or MS (9 years) or PhD (7 years) or AS (13 years) of relevant experience
- Proficiency with object-oriented languages like Java and Python
- Experience designing and developing AI/ML applications using modern software engineering methodologies
- Experience working with large language models (LLMs) and generative AI technologies
- Experience with modern deep learning architectures (DNNs, RNNs, attention-based architectures)
- Experience with ML techniques: classification, clustering, collaborative filtering, semantic search, information retrieval
- Experience using Jupyter Notebooks
- Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks
- Experience designing autonomous or agentic AI systems
- Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and ML fundamentals
What We Do
NetSage Corporation (NetSage) provides cyber services to the US Federal Government. We are an Annapolis, Maryland-based small business that employs experienced professionals, many of which are Veterans and former Government Civilians. We greatly value our employees and consider it a privilege to serve our customers. Our mission is to achieve customer missions with superior cyber services. Our core focus areas are Cyber Engineering and Development, Cyber Technical Analysis, Cyber Threat Intelligence Analysis, Cyber Training, and Cyber Vulnerability Research. The cyber world is constantly changing and NetSage must continually adapt its services to the changing cyber landscape. It is our vision that we will adapt over time and offer services across the entire cyber spectrum. We intentionally avoid putting lots of detailed information about what we do and how we do it out on the internet, but we love to hear from potential partners, customers, and employees. Please contact us at via our website at http://www.netsage.com if you are interested in learning more about NetSage.
