AI Engineer

Hoplite Solutions LLC

Fort Meade (MD)

On-site

USD 120,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental and vision insurance
Life insurance
Disability (short/long-term)
401(k) matching 7%
Paid holidays
Education assistance $5,000/year
4 weeks PTO

Job summary

Hoplite Solutions LLC in Fort Meade, MD is seeking an AI Engineer with a strong software engineering background and deep AI/ML experience to support AI/ET mission, capture requirements, aid planning, and enhance the certification process with AI/ML tooling, including LLM fine-tuning for vulnerability identification.

You will design LLM orchestration frameworks, build data preprocessing pipelines, and implement databases for RAG architectures, artifact storage, and audit trails.

Qualifications

  • Bachelor's degree with 5+ 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.
  • Familiarity with Agile, Git, Jira, and Confluence.
  • Active TS/SCI with Polygraph security clearance.

Responsibilities

  • Design, develop, and maintain LLM orchestration frameworks coordinating analyzers, RAG, and testing pipelines.
  • Develop data preprocessing pipelines for ingestion and vectorization for LLM consumption.
  • Design databases to support RAG architectures, artifact storage, audit trails, and metadata management.

Skills

Python
LLM integration
Data engineering
Agile methodologies
Security clearance

Education

Bachelor's degree
5+ years experience

Tools

Git
Jira
Confluence
Relational databases
Vector databases

Job description

Hoplite Solutions is seeking a motivated 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.

Mission Focus
  • 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.
Technical Proficiency
  • 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.
Basic Qualifications
  • Bachelor's degree plus 5-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.
  • Security Clearance: Active TS/SCI with Polygraph required.
Desirable Skills
  • Familiarization with RUST, Claude Code, Codex, and CI/CD.

At Hoplite Solutions, we pride ourselves on offering competitive salaries and a comprehensive benefits package. This includes full coverage for health, dental, and vision insurance for both individuals and families, along with 100% coverage for life insurance, long-term and short-term disability. Additionally, we match up to 7% of employees' contributions to their 401(k) funds and follow the federal holiday calendar for paid holidays. With 4 weeks of paid time off and $5,000 yearly for education assistance or technical training, we're dedicated to supporting our employees' professional and personal growth.

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