360 - Sr. AI Engineer
Domain
Tech Stack
Must-Have Requirements
- ✓Bachelor's degree plus 8 years relevant experience or equivalent
- ✓Proficiency in Python
- ✓LLM integration experience
- ✓Data engineering experience
- ✓Experience with static analyzers
- ✓RAG framework experience
- ✓Experience with relational and vector databases
- ✓Familiarity with Agile
- ✓Git experience
- ✓Jira experience
- ✓Confluence experience
Nice to Have
- -RUST proficiency
- -Claude Code experience
- -Codex experience
- -CI/CD experience
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.
ARSIEM is looking for an experienced Senior Software Engineer to create custom analytics to perform at scale. The software engineer will work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science. This position will support one of our government clients in Fort Meade, 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 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.
Preferred Qualifications
Familiarization with RUST, Claude Code, Codex, and CI/CD.