Lead Frontend Engineer - React/TypeScript & AI-Driven UX

Machine Learning Technologies, LLC; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a Lead Frontend Engineer to drive UX quality and scalable UI solutions in Houston. You will mentor engineers, set coding standards, and partner with product, UX, and backend teams to translate outcomes into robust interfaces.

You will own frontend architecture, embrace testing, design review processes, and CI/CD integration, while promoting responsible use of AI-assisted tooling to accelerate delivery.

Qualifications

• BS/BA degree or equivalent practical experience.
• 5+ years of hands-on engineering experience, including 3+ years with React and TypeScript.
• Experience with frontend architecture patterns at scale (e.g., Micro Frontends) and monorepo tooling (e.g., Nx).
• Strong testing mindset, including unit/functional/integration testing.
• Strong collaboration and stakeholder management skills in Agile delivery environments.

Responsibilities

• Lead frontend delivery with emphasis on code quality, reliability, and user experience.
• Mentor engineers and drive best practices across architecture, testing, and documentation.
• Partner closely with product, UX, and backend teams to translate outcomes into scalable UI solutions.
• Establish strong engineering hygiene: pull request workflows, design reviews, and test automation.
• Promote responsible use of AI-assisted engineering tools to improve velocity and quality.

Skills

Leadership

Mentoring

Agile delivery

Collaboration

Education

BS/BA degree or equivalent practical experience

Tools

React

TypeScript

Nx

NGINX

Jenkins

AWS

Job description

Machine Learning Technologies, LLC seeks a Lead Frontend Engineer to drive UX quality and scalable UI solutions in Houston. You will mentor engineers, set coding standards, and partner with product, UX, and backend teams to translate outcomes into robust interfaces.

You will own frontend architecture, embrace testing, design review processes, and CI/CD integration, while promoting responsible use of AI-assisted tooling to accelerate delivery.