Full Stack AI Engineer

Job Responsibilities

• Design, develop, and maintain responsive, high-performance front-end applications
• Collaborate with cross-functional teams to integrate AI-driven features into user interfaces
• Work within fast-paced, iterative development cycles to deliver production-ready solutions
• Implement and optimize workflows leveraging Agentic AI frameworks
• Contribute to architecture decisions and front-end best practices
• Integrate APIs and backend services using modern development standards
• Participate in code reviews, testing, and continuous improvement processes
• Support deployment and scaling of applications within the American Science Cloud ecosystem

Basic Qualifications

• Bachelor’s Degree in Computer Science, Software Engineering, or related field
• 5+ years of professional experience in front-end or full-stack development
• Strong proficiency in: JavaScript, Python, MCP (Model Context Protocol or similar frameworks)
• Experience working with Agentic AI systems or AI-driven development environments
• Hands-on experience with tools such as Claude Code and OpenClaw
• Prioritize problem-solving skills and a proactive, “can-do” mindset

Preferred Qualifications

• Master’s Degree in Computer Science, Engineering, or related discipline
• Experience working on large-scale cloud-based platforms or government-related projects
• Familiarity with modern front-end frameworks (React, Vue, etc.)
• Experience integrating AI/ML models into production applications
• Strong understanding of UI/UX principles and performance optimization

Benefits

• Adequate pay and benefits package
• Full medical, dental, and vision coverage
• 401K match
• 15 days paid time off
• 10 holidays

About the Role

The American Science Cloud / Genesis Project is a federally funded cloud infrastructure and API platform designed to accelerate AI model development, data sharing, and large-scale computational science across the U.S. Department of Energy (DOE).

Qualifications

U.S. Citizenship required

Skills

Strong proficiency in: JavaScript, Python, MCP (Model Context Protocol or similar frameworks)

Pay

N/A

Schedule

Full-time, permanent position requiring 100% on-site work