In this hybrid Principal Full Stack Software Engineer role, you will have the chance to join a growing and innovative AI/Data organization, and the timing couldn’t be better!

Company Information:

• Leader in their industry
• Growing Exponentially
• Employs 500+ in many regions
• Been in business for 10 years
• Hybrid role – 3 days in-office – Phoenix
• Innovative Tech
• Ability to make an impact
• Competitive salaries, bonus, great culture, and benefits including possible relocation assistance

Salary Range:

• There are several different tiers and salaries will depend on experience.
• General range however is 160K-210K base plus a 15% bonus.

Overview:

• The Principal Full Stack Software Engineer will drive technical excellence across platform and product teams.
• This is a hands-on, high-impact role responsible for designing complex systems, elevating engineering standards, and shaping the architecture of AI-powered applications.
• You will work across the stack—from frontend experiences in React, to backend services in Python, to multi-cloud distributed systems—while mentoring engineers and influencing technical direction at scale.

Background Profile:

• Mastery of computer science fundamentals and extensive experience designing and building large-scale distributed systems.
• Authoritative expertise in TypeScript and React, with the ability to lead architectural decisions across the frontend stack.
• Significant hands-on experience with backend development, especially in Python; additional experience with Kotlin, Java, or Rust is a strong plus.
• Deep operational experience with multi-cloud environments (AWS, GCP, Azure) and container orchestration technologies like Kubernetes.
• Strong interest and practical experience in applied AI, including working with multiple LLMs and integrating modern AI capabilities into products.
• Proven track record of mentoring engineers, driving technical roadmaps, and leading large, impactful engineering projects.
• Ability to think strategically while still executing in a hands-on technical capacity.
• Strong communication skills, with the ability to influence and align stakeholders across teams.
• Passion for innovation, technical excellence, and creating systems that endure

Bonuses:

• Experience building applications on top of AI/ML models or large language models (LLMs).
• Knowledge of GraphQL or graph databases.
• A demonstrated history of presenting at conferences or meetups.
• Prior experience in industrial software, IoT, or large-scale data visualization.