7 months ago
Linthicum, MD, USASenior
Responsibilities
- Design, develop, and maintain LLM orchestration frameworks integrating static analyzers, RAG systems, and automated testing pipelines.
- Develop data preprocessing pipelines to ingest, clean, transform, and vectorize documentation, source code, and test results for LLM use.
- Design and implement relational and vector database solutions for RAG architectures, artifact storage, audit trails, and metadata management.
- Architect and deploy networked AI tools within secure enclaves with systems engineers.
- Conduct performance profiling, optimization, and scalability analysis of mission systems.
- Support security assessments and authority-to-operate processes.
- Develop AI/ML tools and techniques, including fine-tuning large language models, to improve vulnerability identification and mitigation.
Requirements
- TS/SCI security clearance with an agency-appropriate polygraph is required.
- Bachelor’s degree plus 8 years of relevant experience or equivalent is required.
- Proficiency in Python, LLM integration, and data engineering is required.
- Experience with static analyzers, RAG frameworks, and relational and vector databases is required.
- Familiarity with Git, Jira, and Confluence is required.
- Familiarity with Rust, Claude Code, Codex, and CI/CD is desired.
- United States citizenship is required due to federal contract requirements.
Benefits
- The company automatically contributes 20% of gross compensation to a fully vested SEP IRA without requiring employee matching.
- Up to 200 hours of annual PTO with flexible yearly allocation.
- Medical plan options, including plans with an HSA, plus vision and dental coverage.
- Life and AD&D, short- and long-term disability, hospital indemnity, accident, and critical illness insurance options.
- Optional identity theft and legal protection services.
- Employee referral bonus eligibility of up to $10,000.
- Mobility among Wyetech-supported contracts and work locations across multiple U.S. states and OCONUS.
- Team-building events and two complementary branded clothing orders annually.
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