Software Engineer 3 - (Python, AI, LLM)

Akina•Annapolis Junction, MD

2d•Hybrid

About The Position

As a hybrid Analyst/Developer, you will utilize your experience in LLM’s and AI-Integrated Python pipelines to drive mission-critical initiatives. You will be part of every aspect of the development lifecycle of new tools and plugins, from conceptualization to deployment. Your core focus will be architecting agentic Python automations, conducting vulnerability research, and analyzing complex technical data. Furthermore, you will be responsible for innovating and documenting new tradecraft and managing strategic customer outreach. Design and deploy agentic AI workflows that leverage autonomous planning and tool-use to streamline internal operations and improve system efficiency. Design, develop, and maintain automated workflows using Python. Conduct vulnerability analysis. Develop and document tradecraft. Execute on customer requests. Perform customer outreach.

Requirements

Deep experience leveraging LLM’s to solve complex problems, including expertise in prompt engineering and model optimization.
Proven ability to integrate AI into automated pipelines and production workflows using API’s and orchestration tools.
Strong Python experience.
Data parsing/manipulation.
Networking knowledge and protocols.
Experience with open source research.
Knowledge of end-to-end SIGINT collection and analysis systems.
Familiarity with Git.
Atlassian Tools (Jira, Confluence).
A minimum of twelve (12) years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Nice To Haves

Experience with production CNO capabilities and operations.

Responsibilities

Design and deploy agentic AI workflows that leverage autonomous planning and tool-use to streamline internal operations and improve system efficiency.
Design, develop, and maintain automated workflows using Python.
Conduct vulnerability analysis.
Develop and document tradecraft.
Execute on customer requests.
Perform customer outreach.