359 - Sr. AI Engineer

ARSIEM•Linthicum, MD

10d•$191,000 - $214,000

About The Position

At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is looking for a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities. This position will support one of our government clients in Linthicum, MD.

Requirements

Bachelor's degree plus 8-years of relevant experience or equivalent.
Proficiency in Python, LLM integration, and data engineering.
Experience with static analyzers, RAG framework, and relational and vector databases.
Familiarization with Agile, Git, Jira, and Confluence.

Nice To Haves

Familiarization with RUST, Claude Code, Codex, and CI/CD.

Responsibilities

Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines.
Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption.
Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
Support security assessments and authority to operate (ATO) processes.