AI Software Engineer-Principal

NetSage•Annapolis Junction, MD

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.