Senior AI Engineer

AIToolboard; Fort Meade (MD); On-site; USD 120,000 - 190,000; Full time

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

/Senior AI Engineer# Senior AI EngineerQue Technology GroupFort Meade, USFull-time## About the RoleQue Technology Group, Inc., is looking for a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities.Responsibilities include, but are not limited to:• 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) processesRequired 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.Security Clearance:• Active TS/SCI with Polygraph required.BENEFITS:• Competitive salary• Company Medical/Dental/Vision plans – Company paid• Short-term Disability, Long-term disability and Life Insurance – Company paid• Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses• Vacation / Personal days granted at 25 days per year• Paid Federal Holidays – 11 days• $5,000 Annual Professional Development Fund plus 40 paid hours if in class• 401K with 6% company match; all contributions are immediately vested by Employee• Employee will be paid a bonus of $10,000 per employee hired based on their referral• Up to 3 paid Code Red days due to customer closureQue Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.### Apply for this PositionFill out the form below to apply for this roleLocationFort Meade, US