Security-Cleared AI Engineer: LLM & RAG Orchestration

Leidos LLC; Linthicum (MD); On-site; USD 87,000 - 157,000; Full time

Job summary

Kudu Dynamics, a Leidos Owned Company, seeks a skilled AI/ML engineer to design, develop, and maintain LLM orchestration frameworks coordinating static analyzers, RAG pipelines, and automated testing. You will preprocess data for LLM consumption and build robust databases for RAG architectures.

Requirements include a Bachelor's plus 5 years of relevant experience, strong Python, and experience with Agile, Git, Jira, and Confluence. Active TS/SCI with Polygraph is required.

Qualifications

• Bachelor's degree plus five (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.

Responsibilities

• Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, 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.

Skills

Python

LLM integration

Data engineering

Static analyzers

RAG framework

Relational databases

Vector databases

Agile

Git

Jira

Confluence

Education

Bachelor's degree

Tools

CI/CD

Rust

Claude Code

Codex

Job description

Kudu Dynamics, a Leidos Owned Company, seeks a skilled AI/ML engineer to design, develop, and maintain LLM orchestration frameworks coordinating static analyzers, RAG pipelines, and automated testing. You will preprocess data for LLM consumption and build robust databases for RAG architectures.

Requirements include a Bachelor's plus 5 years of relevant experience, strong Python, and experience with Agile, Git, Jira, and Confluence. Active TS/SCI with Polygraph is required.