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# Artificial Intelligence Software Engineer

- **Company:** Synergist Computing, LLC
- **Location:** Annapolis Junction, MD, United States
- **Salary:** $100,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Confluence, JIRA, Automation of Tests, Cyber Security, DevOps, Python (Programming Language), MongoDB, TypeScript, Data Storage Management, ReactJS, IT Architecture, Git, Fastapi, Kubernetes, Information Technology, Deployment Automation, Restful APIs, Data Pipelines, Docker, Programming Languages
- **Published:** July 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=39e0c53c76db6d36

## About the Role

* You have an active TS/SCI with a Full-Scope Polygraph Clearance
 * You have a BS in Computer Science or similar technical field (4 years of relevant experience may be substituted in lieu of a BS degree)
 * You have experience with languages & frameworks such as Python, FastAPI, JavaScript, TypeScript, React
 * You have experience with Data & Storage including MongoDB, REST APIs, Data Processing Workflows
 * You're familiar with DevOps & Deployment tools such as Docker, Kubernetes, CI/CD tools, Cross-Environment Operations (HS/LS)
 * You have used Automation Testing Frameworks, Git, Jira, and Confluence
 * You have a passion for technology and the drive to learn new programming languages and frameworks

## Description

We are seeking an Artificial Intelligence Software Engineer to join our team to support our Artificial Intelligence Research initiatives. This role is responsible for working closely with a team of Data Scientists and Researchers to develop models and novel approaches for incorporating AI in the area of Cybersecurity research., * AI Architecture Best Practices - Produce best-practices documentation and reusable implementation packages that establish repeatable patterns for building and deploying AI enabled software.

 * Agentic Coding Harness Testing Framework - Build and maintain the framework that executes repeatable tests against agentic coding harnesses, consuming the datasets and scenarios produced by Fuzzy blocks and running them alongside the Data Scientists' InspectAI benchmarks to measure agent performance and reliability.
 * Cross Environment Application Operations - Support deployment, configuration, and operation of applications across both HS and LS environments. This includes ongoing sustainment of deployed applications, implementing small feature requests and enhancements driven by user feedback and evolving mission needs, and diagnosing and resolving bugs across both environments.
 * Fuzzy blocks - Build and maintain Fuzzy blocks, a workflow driven framework that generates vulnerability discovery datasets and experimental scenarios fed into the testing harness. It provides a structured approach to creating repeatable benchmark datasets and adversarial test scenarios for AI systems and agents, supporting both research and operational security use cases.


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