AI Native Developer Lead / Architect

Remote, USA Full-time Posted 2026-06-13

Job Title: AI Native Developer Lead / Architect Location: Remote (Minneapolis, MN) - Travel is required Job Type: Long-term contract Job Summary

We are seeking a skilled and proactive AI Lead Native Developer to spearhead our software development initiatives, focusing on both front-end and back-end technologies.
The ideal candidate will have hands-on experience with React, Python, and Java Spring Boot, and a proven track record in implementing end-to-end AI/ML-driven applications.
This role requires strong leadership skills to manage and mentor an offshore development team, ensuring seamless project delivery and adherence to best practices.

Key Responsibilities

Lead the design, development, and deployment of AI-driven applications using React, Python, and Java Spring Boot.
Manage and mentor offshore development teams, providing technical guidance and ensuring adherence to project timelines and quality standards.
Collaborate with cross-functional teams, including Product, Design, and Data Science, to define requirements and deliver robust solutions.
Architect scalable, maintainable, and secure front-end and back-end systems.
Integrate AI/ML models into production systems and optimize their performance.
Oversee code reviews, technical documentation, and best practice implementation.
Troubleshoot, debug, and upgrade software to ensure optimal performance.
Foster a culture of continuous improvement, innovation, and collaboration within the team.
Drive the successful implementation of at least one full-cycle AI/ML project.

Required Skills & Qualifications

Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field.
12+ years of overall IT work experience in software development, with a focus on AI/ML applications.

Strong proficiency in:

Front-end: React.js (including hooks, state management, component architecture)
Python: For AI/ML model development and integration
Back-end: Java, Spring Boot (REST APIs, microservices)
Proven experience leading and mentoring offshore development teams.
Demonstrated success in implementing at least one end-to-end AI/ML-focused project.
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices.
Strong understanding of CI/CD pipelines, version control (Git), and agile methodologies.
Excellent communication, organizational, and interpersonal skills.

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