
Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
April 22, 2026
Full Job Description
đź“‹ Description
- • As an AI Engineer at JAMS Software LLC, you will leverage modern AI tools to dramatically accelerate software development, improve code quality, and solve complex problems faster—without training models, but by integrating AI into every stage of the engineering workflow.
- • Day to day, you will use AI-powered development tools like GitHub Copilot and code assistants to design, write, and refactor code; rapidly prototype and ship features using AI-assisted workflows; validate and refine AI-generated outputs to production standards; build internal automations that boost team productivity; and collaborate with product and design teams to deliver high-quality features quickly while maintaining rigorous testing, documentation, and code quality practices.
- • JAMS Software LLC is a technology company focused on empowering engineers to be creative, self-directed, and impactful, offering a fully remote environment where innovation and ownership are valued over micromanagement.
- • In this role, you will deepen your expertise in AI-augmented software engineering, become a leader in adopting emerging AI tools, and gain experience shaping team-wide productivity through automation—positioning yourself at the forefront of modern software development practices.
Skills & Technologies
About JAMS Software LLC
JAMS Software provides enterprise job scheduling and workload automation solutions for Windows, UNIX, Linux, IBM i, and z/OS environments. Its flagship JAMS product centralizes batch processing, integrates with ERP, BI, and custom applications, and offers event-driven, date/time, and dependency-based scheduling. The platform includes audit trails, granular security, alerting, and REST API support. Founded in 1981, the company serves financial services, healthcare, government, and manufacturing sectors, helping organizations reduce manual intervention, ensure compliance, and optimize resource utilization across hybrid cloud and on-premises infrastructures.
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