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

SYSTOLIC, INC.

Annapolis Junction, MD, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Compensation

$308,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

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

+8 more

Computer Network Operations Delivery Pipeline Large Language Models Prompt Engineering Git Atlassian Tools Automation Anywhere Vulnerability Analysis

Job 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.