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Senior AI Engineer

Que Technology Group

Fort Meade · On-site Full-time Senior Yesterday

About the role

About

Que 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

  • 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) processes.

Required 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 closure

Que 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.

Requirements

  • 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
  • Active TS/SCI with Polygraph required

Responsibilities

  • 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
  • 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) processes

Benefits

health_insurancepaid_time_offdental_coverage

Skills

AgileConfluenceData engineeringGitJiraLLM integrationPythonRAG frameworkRelational databasesStatic analyzersVector databases

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