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

SYSTOLIC, INC.

Annapolis Junction, MD, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

7 years minimum

Compensation

$259,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Testing (Software) JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Confluence JIRA Cloud Computing Continuous Integration DevOps Python (Programming Language) MongoDB Software Configuration Management

+9 more

Software Deployment Software Engineering ReactJS Git Kubernetes Atlassian Tools Virtual Agents Restful APIs Docker

Job 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.