Senior AI Engineer for Secure Gov Tech & LLMs

Wyetech, LLC; Linthicum (MD); On-site; USD 246,998,000 - 390,470,000; Full time

Benefits offered by this job

SEP IRA

PTO up to 200 hours per year

Medical plan options

Vision and Dental

Life and AD&D

Job summary

Wyetech, LLC seeks a Senior AI Engineer to advance AI/ET initiatives for federal government projects. You’ll work with stakeholders to capture requirements, plan structured work, and improve certification processes using AI/ML tooling and LLMs for vulnerability analysis.

Prerequisites include TS/SCI clearance, a related degree, and hands-on experience with Python, LLM integration, data engineering, and secure enclave deployments. Competitive benefits are offered.

Qualifications

• Bachelor's degree in Computer Science or equivalent with 8+ years of relevant experience
• Proficiency in Python, LLM integration, and data engineering; experience with static analyzers and RAG systems will be a plus
• Experience with Agile methodologies and related tooling (Git, Jira, Confluence)
• Experience designing and deploying AI/ML tooling in secure environments
• Knowledge of data preprocessing, vectorization, and database design for AI workflows

Responsibilities

• Design, develop, and maintain LLM orchestration frameworks coordinating static analyzers, RAG systems, and testing pipelines
• Develop data preprocessing pipelines to ingest, clean, transform, and vectorize documents, code, and test results for LLM use
• Design and implement databases supporting RAG architectures, storage, audits, and metadata management
• Collaborate with systems engineers to deploy AI tools within secure enclaves and optimize performance
• Support security assessments and ATO processes

Skills

Python

LLM integration

Data engineering

Education

Bachelor's degree in Computer Science

Tools

RAG framework

Relational databases

Vector databases

Git

Jira

Confluence

CI/CD

Job description

Wyetech, LLC seeks a Senior AI Engineer to advance AI/ET initiatives for federal government projects. You’ll work with stakeholders to capture requirements, plan structured work, and improve certification processes using AI/ML tooling and LLMs for vulnerability analysis.

Prerequisites include TS/SCI clearance, a related degree, and hands-on experience with Python, LLM integration, data engineering, and secure enclave deployments. Competitive benefits are offered.