Secure AI Engineer: LLM Orchestration & Data Pipelines

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

Job summary

Leidos seeks a highly skilled software engineer to join our Kudu Dynamics team in Linthicum, MD. You will design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, RAG systems, and automated testing pipelines for mission-critical applications.

Requirements include a Bachelor's degree plus 5+ years of relevant experience, proficiency in Python, LLM integration, and data engineering, plus experience with relational and vector databases.

Qualifications

• Bachelor's degree plus five 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 coordinating 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.
• Work with systems engineers to architect and deploy networked AI tools within secure enclaves and perform performance profiling, optimization, and scalability analysis.
• Support security assessments and authority to operate (ATO) processes.

Skills

Python

LLM integration

Data engineering

Static analyzers

RAG framework

Relational databases

Vector databases

Agile

Git

Jira

Confluence

Education

Bachelor's degree

Tools

Git

Jira

Confluence

Job description

Leidos seeks a highly skilled software engineer to join our Kudu Dynamics team in Linthicum, MD. You will design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, RAG systems, and automated testing pipelines for mission-critical applications.

Requirements include a Bachelor's degree plus 5+ years of relevant experience, proficiency in Python, LLM integration, and data engineering, plus experience with relational and vector databases.