AI-Driven Full-Stack Developer (Payments & Rules)

Private National Mortgage Acceptance Company, LLC

Westlake Village (CA)

On-site

USD 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Medical, Dental, and Vision
Paid Time Off Programs
Retirement benefits and 401k match

Job summary

Private National Mortgage Acceptance Company, LLC in Westlake Village, California is seeking a Full Stack Developer to enhance its Digital Customer Experience team. This role emphasizes optimizing customer-facing platforms, leveraging AI coding tools, and maintaining robust payment processing systems.

The ideal candidate will have a Bachelor's degree in Computer Science and over 5 years of relevant experience. Considerable expertise in ReactJS and Node.js is essential, with a strong focus on AI coding assistants to drive development efficiency.

Qualifications

  • 5+ years of professional software development experience.
  • Expert-level proficiency in ReactJS and strong backend skills in Node.js/TypeScript.
  • Proven track record with AI coding assistants.

Responsibilities

  • Lead the development, optimization, and maintenance of customer-facing web platforms.
  • Design, refactor, and safeguard complex payment rules and fee calculation logic.
  • Mentor junior engineers on AI-augmented coding workflows.

Skills

ReactJS
Node.js
AI coding assistants
TypeScript

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform
AWS

Job description

Private National Mortgage Acceptance Company, LLC in Westlake Village, California is seeking a Full Stack Developer to enhance its Digital Customer Experience team. This role emphasizes optimizing customer-facing platforms, leveraging AI coding tools, and maintaining robust payment processing systems.

The ideal candidate will have a Bachelor's degree in Computer Science and over 5 years of relevant experience. Considerable expertise in ReactJS and Node.js is essential, with a strong focus on AI coding assistants to drive development efficiency.

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