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# Mid-Level Python AI Engineer [$259k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $259,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), MongoDB, Software Configuration Management, Software Deployment, Software Engineering, ReactJS, Git, Kubernetes, Atlassian Tools, Virtual Agents, Restful APIs, Docker
- **Published:** July 4, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9012147/mid-level-python-ai-engineer-259kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 7+ years
 * Total Compensation: $259k+ yearly

## Description

* Develop and deploy AI-enabled software, including best practices and reusable implementation packages.
 * Build and maintain testing frameworks for agentic coding harnesses, consuming datasets, and measuring agent performance.
 * Support application deployment, configuration, and operations across environments, including sustainment, feature enhancements, and bug resolution.
 * Create and maintain workflow-driven frameworks for generating vulnerability discovery datasets and adversarial test scenarios for AI systems and agents.
 * Requires Python, Javascript, React, Docker, Kubernetes, Git, CI/CD, REST APIs, MongoDB, cloud platforms, testing, Jira, and Confluence., * Produce best-practices documentation and reusable implementation packages that establish repeatable patterns for building and deploying AI-enabled software.
 * Build and maintain the framework that executes repeatable tests against agentic coding harnesses, consuming datasets and scenarios to measure agent performance and reliability.
 * Support deployment, configuration, and operation of applications across environments, including ongoing sustainment, implementing feature requests, and diagnosing/resolving bugs.
 * Develop and maintain workflow-driven frameworks, generate, datasets and experimental scenarios for AI systems and agents.
 * Utilize key technologies including Python, Javascript, React.js, Docker, Kubernetes, Git, CI/CD, REST APIs, MongoDB, and cloud platforms (AWS).
 * Apply expertise in Agentic AI, Data Science, Software Configuration Management (DevOps), Software Development, and Software Testing.
 * Collaborate effectively using tools such as Jira and Confluence, and implement workflow automation.


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