Senior AI Engineer: LLM Orchestration & Secure Systems

ARSIEM Corporation; Linthicum (MD); On-site; USD 191,000 - 214,000; Full time

Job summary

ARSIEM Corporation in Linthicum, MD seeks a Senior AI Engineer to design, develop, and implement LLM orchestration frameworks, coordinate static analyzers, RAG systems, and automated testing pipelines. The engineer will also help develop AI/ML tooling to enhance vulnerability identification and mitigation for government clients.

We require a Bachelor's degree plus 8 years of relevant experience, strong Python and data-engineering skills, and familiarity with Agile, Git, Jira, and Confluence.

Qualifications

• Bachelor’s degree plus 8 years of relevant experience.
• 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.

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.

Skills

Python

LLM integration

Data engineering

Static analyzers

RAG framework

Relational databases

Vector databases

Agile

Git

Jira

Confluence

Education

Bachelor's degree

Tools

Git

Jira

Confluence

Job description

ARSIEM Corporation in Linthicum, MD seeks a Senior AI Engineer to design, develop, and implement LLM orchestration frameworks, coordinate static analyzers, RAG systems, and automated testing pipelines. The engineer will also help develop AI/ML tooling to enhance vulnerability identification and mitigation for government clients.

We require a Bachelor's degree plus 8 years of relevant experience, strong Python and data-engineering skills, and familiarity with Agile, Git, Jira, and Confluence.