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

AIToolboard

Fort Meade (MD)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Company paid medical/dental/vision
Disability & life insurance
25 days vacation/personal days

Job summary

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.

Responsibilities

  • 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.

Skills

Python
LLM integration
Data engineering
Static analyzers
RAG framework
Relational databases
Vector databases
Agile methodologies
Git
Jira
Confluence
CI/CD
Rust
Claude Code
Codex

Education

Bachelor's degree

Tools

N/A

Job description

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.

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