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.
