Senior AI Engineer: Build LLM Tools for Secure, Scalable AI

AIToolboard; Fort Meade (MD); Sur place; USD 120 000 - 190 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Company paid medical/dental/vision

Disability & life insurance

25 days vacation/personal days

Résumé du poste

Que Technology Group, Inc. is seeking a Senior AI Engineer to lead LLM orchestration and data pipelines for AI/ET missions. You will coordinate static analyzers, RAG systems, and testing pipelines within secure enclaves, delivering scalable AI tools for vulnerability analysis.

The role requires collaboration with mission stakeholders, strong Python and data engineering skills, and experience with CI/CD, Git, Jira, and Confluence. A TS/SCI with Polygraph is required.

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.

Responsabilités

• Collaborate to design, develop, and maintain LLM orchestration frameworks.
• Develop data preprocessing pipelines for ingestion and vectorization for LLMs.
• Design and implement databases to support RAG architectures and audit trails.
• Work with systems engineers to deploy AI tools in secure enclaves and optimize performance.
• Support certification processes and perform scalability analysis of mission systems.

Connaissances

Python

LLM integration

Data engineering

Static analyzers

RAG framework

Relational databases

Vector databases

Agile methodologies

Git

Jira

Confluence

CI/CD

Rust

Claude Code

Codex

Formation

Bachelor's degree

Outils

N/A

Description du poste

Que Technology Group, Inc. is seeking a Senior AI Engineer to lead LLM orchestration and data pipelines for AI/ET missions. You will coordinate static analyzers, RAG systems, and testing pipelines within secure enclaves, delivering scalable AI tools for vulnerability analysis.

The role requires collaboration with mission stakeholders, strong Python and data engineering skills, and experience with CI/CD, Git, Jira, and Confluence. A TS/SCI with Polygraph is required.