361 - AI Engineer

ARSIEM; Linthicum (MD); On-site; USD 126,000 - 141,000; Full time

Job summary

ARSIEM is seeking an AI Engineer in Linthicum, MD with expertise in Artificial Intelligence and Machine Learning. The role involves developing LLM orchestration frameworks, optimizing data pipelines, and enhancing security assessments for government clients.

Candidates should possess a Bachelor's degree and 5 years of experience, with proficiency in Python and familiarity with Agile methodologies. The position offers a salary range of $126,000 - $141,000 annually.

Qualifications

• 5 years of relevant experience or equivalent.
• Proficiency in Python and LLM integration.
• Experience with static analyzers and RAG framework.

Responsibilities

• Collaborate with technical leadership to design and maintain LLM frameworks.
• Develop data preprocessing pipelines for LLM consumption.
• Design database solutions for RAG architectures and artifact storage.
• Work with systems engineers to deploy AI tools within secure enclaves.

Skills

Python

LLM integration

data engineering

Agile

Git

Jira

Confluence

Education

Bachelor's degree

Tools

static analyzers

RAG framework

relational databases

vector databases

RUST

Claude Code

Codex

CI/CD

Job description

About ARSIEM Corporation

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.

AI Engineer

ARSIEM is looking for a motivated 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.

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.

Minimum Qualifications

• Bachelor's degree plus 5‑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.

Preferred Qualifications

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

$126,000 - $141,000 a year

Clearance Requirement: This position requires an active TS/SCI with a polygraph. You must be a U.S. citizen for consideration.

ARSIEM is proud to be an Equal Opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.