ARSIEM Corporation

360 - Sr. AI Engineer

Linthicum, MD · Senior

No sponsorship$191k-$214kDetected 113 days ago

TypeScriptPythonGitMachine LearningLLMsRAGAI OrchestrationJiraTest AutomationLeadershipPublic Speaking

About the role

As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients.

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.
Support security assessments and authority to operate (ATO) processes.

Proficiency in Python, LLM integration, and data engineering.
Experience with static analyzers, RAG framework, and relational and vector databases.
That means a career packed with opportunities to grow and the ability to have an impact on every client you work with.

Clearance Requirement: This position requires an active TS/SCI with a polygraph.
You must be a U.S. citizen for consideration.
Candidate Referral: Do you know someone who would be GREAT at this role?
ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer.
Bachelor's degree plus 8-years of relevant experience or equivalent.

If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects.
The bonus for this position is $10,000, and the referrer is eligible to receive the sum for any applicant we can place within 12 months of referral.
The bonus is paid after the referred employee reaches six months of employment.

This listing is sourced directly from ARSIEM Corporation's careers page and normalized into a canonical job model.