Software Engineer (AI Engineer) - Mid Level - FULLY CLEARED with POLYGRAPH REQUIRED

Linthicum HeightsSoftware & Database Engineersmid

Data ScienceOtherSoftware EngineerSoftware Engineer AiSoftware Engineering

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Overview

Python, LLM integration, data engineering, Agile, Git, Jira, Confluence, static analyzers, RAG framework, relational and vector databases, RUST, Claude Code, Codex,

Technical Tools

Data ScienceOtherSoftware EngineerSoftware Engineer AiSoftware Engineering

Python, LLM integration, data engineering, Agile, Git, Jira, Confluence, static analyzers, RAG framework, relational and vector databases, RUST, Claude Code, Codex, and CI/CD

Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

Must be a US Citizen.

Must have TS/SCI clearance w/ active polygraph.

Must have Five (05) years of direct/relevant experience.

Bachelor’s degree in computer science or related discipline from an accredited college or university is required.

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.

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.

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.

Familiarization with RUST, Claude Code, Codex, and CI/CD.