About the role

What will you do at NetSage?

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government.

We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support.

Please connect with us using our Contact Us page if you have any questions about any of our job-openings. We are seeking a Senior Artificial Intelligence (AI) Engineer with a proven track record in software engineering and a deep understanding of Artificial Intelligence/ Machine Learning (AI/ML) techniques to support an exciting new AI and Emerging Technologies (AI&ET) mission.

In this role, you will

work closely with mission stakeholders to capture requirements, aid in structured planning, and improve processes by introducing AI/ML tooling.
Additionally, you will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced identification and mitigation capabilities.
The ideal candidate for this position will have demonstrable experience designing, developing, and maintaining LLM orchestration frameworks; experience developing and optimizing data for LLM consumption; and have a strong proficiency working in Python.
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 STEM discipline and eight (8) years or relevant experience is required.
A Doctoral degree (PHD) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of experience is also acceptable.
Strong proficiency with object-oriented languages like Python.
Experience with LLM integration and data engineering.
Experience with static analyzers, Retrieval-Augmented Generation (RAG) framework, and relational and vector databases.
Familiarization with Agile, Git, Jira, and Confluence.
Must be capable of working with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
Must be capable of supporting security assessments and authority to operate (ATO) processes.
Desired

Qualifications

Familiarity with RUST, Claude Code, Codex, and Continuous Integration and Continuous Delivery/Deployment (CI/CD) practices.

Which skills does this role require?

PythonArtificial IntelligenceMachine LearningLarge Language ModelsLLM OrchestrationData EngineeringRetrieval-Augmented GenerationStatic AnalyzersRelational DatabasesVector DatabasesAgileGitJiraConfluencePerformance ProfilingSystem ArchitectureAI Software EngineerLLMRAGTS/SCIPolygraphSecure EnclavesATOSecurity AssessmentsRustClaude CodeCodexCI/CDSoftware EngineeringSTEMLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.