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# Mid-Level AI Python Engineer [$308k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $308,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Confluence, JIRA, Signals Intelligence, Systems Analysis, Python (Programming Language), Network Protocols, Open Source Technology, Software Engineering, Technical Data Management Systems, Workflow Management Systems, Computer Network Operations, Delivery Pipeline, Large Language Models, Prompt Engineering, Git, Atlassian Tools, Automation Anywhere, Vulnerability Analysis
- **Published:** July 13, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9027980/mid-level-ai-python-engineer-308kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 12+ years
 * Total Compensation: $308k+ yearly

## Description

* Architect agentic Python automations and AI-integrated pipelines using LLMs.
 * Conduct vulnerability research and analyze technical data.
 * Develop tradecraft and manage full software development lifecycle.
 * Utilize Python, network protocols, SIGINT systems, Git, Jira, Confluence, and CNO capabilities., * Utilize experience in LLMs and AI-integrated Python pipelines to drive mission-critical initiatives.
 * Participate in the full development lifecycle of new tools and plugins, from conceptualization to deployment.
 * Architect and deploy agentic Python automations and AI workflows leveraging autonomous planning and tool-use.
 * Conduct vulnerability research and analysis.
 * Analyze complex technical data.
 * Innovate, develop, and document new tradecraft.
 * Manage strategic customer outreach and execute on customer requests.
 * Leverage LLMs for complex problem-solving, including prompt engineering and model optimization.
 * Integrate AI into automated pipelines and production workflows using APIs and orchestration tools.
 * Demonstrate proficiency in Python and data parsing/manipulation.
 * Apply knowledge of networking protocols and open-source research.
 * Utilize knowledge of end-to-end SIGINT collection and analysis systems.
 * Use Git and Atlassian tools such as Jira and Confluence.
 * Experience with production Computer Network Operations (CNO) capabilities and operations.


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