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General ML title, mid-level scope, and metro location drive high applicant competition.
Full-stack Python/React, cloud and AI-tool skills are broadly transferable across industries, lowering background sensitivity.
Extensive mandatory technical stack, architecture expectations, and AI tooling experience make filtering stringent.
Design and define scalable software architecture for React frontend and Python backend on cloud platforms (AWS/Azure/GCP).
Act as a technical architect ensuring robust, maintainable, and scalable solutions incorporating AI-powered development tools.
Build rapid prototypes and production-grade applications leveraging AI coding assistants and cloud-native infrastructure including microservices and CI/CD pipelines.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
Proven experience as software engineer or architect with strong system design skills.
Strong hands-on proficiency in React (or similar frameworks) and Python backend development.
Solid experience with cloud platforms (AWS, Azure, or GCP) and AI-powered development tools.
Experienced in bridging software architecture with applied AI to improve engineering efficiency.
Skilled at rapid prototyping and integrating AI tools into full stack development workflows.
Capable of mentoring engineers and establishing best practices for AI-assisted software development.