Microsoft Power Platform Developer
Design, develop, and implement Microsoft Power Platform solutions for diverse clients, enhancing user experience and optimizing processes through automation.
About the role
This role focuses on designing, building, and optimizing AI-powered workflows and system integrations that streamline business operations. The ideal candidate will have hands-on experience with business automation tools and a deep understanding of how to integrate various systems to work seamlessly with AI.
Primary responsibilities
Systems Integration & Automation
Systems Optimization & Data Management
Business Process Improvement
Requirements
Required Qualifications
Benefits
Hireframe provides nearshore and offshore staffing solutions, operating as a remote-first organization with team members located in the United States, Mexico, and the Philippines. Our robust benefits package includes:
At Hireframe, we cultivate a supportive environment that fosters professional development and success, ensuring our team members thrive in their careers.
Learn More
Stay updated on open roles and industry insights.
Follow us on:
Tune in to our What Worked podcast
Check out What Worked podcast, hosted by our founders, Mike and Tyler, featuring conversations with business executives and foundersโincluding some of our clients.
Design, develop, and implement Microsoft Power Platform solutions for diverse clients, enhancing user experience and optimizing processes through automation.
As a Private Equity AI Researcher, you will leverage your investment expertise to create realistic PowerPoint tasks that assess AI's effectiveness in investment-related knowledge work.
Contribute to digital transformation by designing and delivering process automation solutions using Power Apps and Power Automate in a collaborative environment.
Focus on developing and optimizing model-serving architectures for advanced AI systems, tackling challenges in latency, throughput, and memory efficiency across various hardware environments.
Develop and optimize model-serving architectures for advanced AI systems, focusing on high-performance inference across various hardware environments.