Executive Full Stack Machine Learning Engineer Jobs in Utah

Preferably in the Central European Time Zone

Overview

At Leadership Circle, we are reimagining how leadership grows from one-time events to personalized, continuous, human-centered experiences.

We are seeking a Full Stack Software Engineer to join our team supporting Project Center and LeadHub while helping us evolve toward our next-generation platform.

This role requires working across the full stack including backend services, APIs, and frontend user experiences, beginning with maintaining existing systems built on Ruby on Rails and Next.js and transitioning into building on a new platform using Next.js, NestJS, and Aurora PostgreSQL.

A core expectation of this role is the active and effective use of AI-assisted development tools such as Claude Code. Success in this role will require embracing AI as a fundamental part of the development process to accelerate learning, improve code quality, and increase delivery velocity.

Responsibilities

Develop and maintain full stack features across our current platform including Ruby on Rails backend services and Next.js and React frontend applications

Support and troubleshoot production issues across Project Center and LeadHub including participation in on-call rotations

Collaborate with teammates to ensure system stability, performance, and reliability across both frontend and backend systems

Contribute to platform transition efforts by migrating and re-imagining features across the full stack in the new architecture, improving service design, and ensuring data integrity

Build new full stack features on the next-generation platform using Next.js for the frontend, NestJS for the API layer, and Aurora PostgreSQL for the database

Build and consume RESTful APIs and support integrations with internal and external systems

Work with PostgreSQL databases including writing queries, optimizing performance, and supporting schema evolution

Collaborate with AWS services such as S3, Lambda and SQS for storage and asynchronous processing

Implement and maintain authentication flows using Auth0 and OAuth standards

Write automated tests such as RSpec and Jest and maintain code quality through thoughtful code reviews

Actively use AI-assisted development tools such as Claude Code as a core part of daily development including code generation, refactoring, debugging, and system comprehension

Continuously improve how AI tools are used within the team to increase development speed, reduce friction, and improve overall engineering effectiveness

Collaborate closely with Product, UX, and fellow engineers by communicating proactively, sharing context, and contributing to team discussions

Requirements

2 to 5 years of software engineering experience with full stack development responsibilities

Experience with Ruby on Rails preferably Rails 6 or higher

Proficiency in JavaScript or TypeScript with React or Next.js

Experience building and maintaining both frontend and backend systems

Experience with PostgreSQL or similar relational databases

Familiarity with RESTful API design and implementation

Comfort working across both existing systems and newer architectures

Ability to balance short-term maintenance needs with long-term platform evolution

Experience with Git workflows and collaborative development practices

Strong communication skills and a team-first mindset with a willingness to ask questions when stuck, share context proactively, and believe the best solutions come from collaboration

Comfort giving and receiving feedback in code reviews and team discussions

Demonstrated experience using AI tools such as Claude Code, GitHub Copilot, or ChatGPT as a regular part of the development workflow

Strong ability to evaluate, validate, and improve AI-generated code to ensure production-quality outcomes

Mindset that embraces AI as a force multiplier for engineering productivity and continuous learning

Bonus

Experience with NestJS or similar Node.js backend frameworks

Experience participating in system migrations or platform transitions

Familiarity with AWS services such as S3, SQS, and RDS or Aurora as well as Auth0, OAuth, Docker, or background job systems

Experience helping teams adopt AI-assisted development practices