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NetSage

Federal cyber security services and training

Artificial Intelligence Software Engineer Senior

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAnnapolis Junction, MD, USANo salary listedIn-person

About the Job

Requirements

  • Hold a TS/SCI clearance with polygraph.
  • Have a Bachelor of Science degree in Computer Science or a related field and eight years of relevant experience; alternatively, have a doctoral degree and four years, a Master of Science degree and six years, or an Associate of Science degree and ten years of relevant experience.
  • Demonstrate strong proficiency with object-oriented languages such as Python.
  • Have experience with large language model integration and data engineering.
  • Have experience with static analyzers, Retrieval-Augmented Generation frameworks, and relational and vector databases.
  • Be familiar with Agile, Git, Jira, and Confluence.
  • Be capable of working with systems engineers to architect and deploy networked AI tools within secure enclaves, and of conducting performance profiling, optimization, and scalability analysis of mission systems.
  • Be capable of supporting security assessments and authority to operate processes.

Responsibilities

  • Work closely with mission stakeholders to capture requirements and support structured planning.
  • Improve processes by introducing artificial intelligence and machine learning tooling.
  • Use artificial intelligence and machine learning to develop tools and techniques, including fine-tuning large language models, to assist with enhanced identification and mitigation capabilities.
  • Design, develop, and maintain large language model orchestration frameworks.
  • Develop and optimize data for large language model consumption.

Desired Qualifications

  • Be familiar with Rust, Claude Code, Codex, and continuous integration and continuous delivery/deployment practices.

About the Company

NetSage

Federal cyber security services and training

NetSage provides specialized cyber services to the U.S. federal government, combining offensive and defensive cybersecurity with data analytics, engineering, and training. Its four pillars are: cybersecurity services such as adversary emulation, vulnerability research, computer network operations development, advanced threat detection, incident response, and system hardening; an analysis division using AI, machine learning, and predictive analytics to turn data into actionable intelligence; engineering to design and sustain on-premises, hybrid, and secure cloud infrastructure; and training to prepare analysts with realistic tools, environments, and conditions for mission readiness. It differentiates itself through a workforce largely made up of veterans and former government civilians with deep domain expertise and an integrated cross-pillar approach. The goal is to help government clients anticipate and counter threats, maintain secure operations, and field mission-ready teams.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Annapolis, Maryland
Founded
Not listed

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