Senior Full-Stack AI/ML Engineer | Flexible Schedule, Growth

Nomad

United States

Remote

USD 120,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Flexible schedule
Growth opportunities
Team outings & events
Excellent benefits

Job summary

Nomad is seeking a Senior Full Stack Engineer to design, build and scale AI-powered financial software for fleets. You will own features end-to-end, from design through production, with a focus on secure, scalable systems using React, TypeScript, Node.js and cloud platforms.

Your work will span AI/ML integrations, data workflows, and production-grade security, with opportunities to shape architecture and champion best practices in a fast-moving fintech environment.

Qualifications

  • 5–7+ years of professional software engineering experience building and supporting production applications.
  • Experience designing and developing REST APIs and backend services.
  • Strong experience with React, TypeScript, JavaScript, and Node.js.
  • Experience with Google Cloud Platform (GCP) or a comparable cloud environment.

Responsibilities

  • Design, develop, and maintain secure and scalable applications using Node.js, TypeScript, and React.
  • Build and maintain REST APIs, backend services, and user-facing applications.
  • Architect and implement cloud solutions using Google Cloud Platform (GCP).
  • Own features end-to-end, from technical design and development through testing, deployment, and production support.
  • Review code, troubleshoot production issues, and provide technical guidance to team members.

Skills

React
TypeScript
JavaScript
Node.js
GCP
CI/CD
REST APIs

Tools

Docker
Kubernetes
Terraform
LangChain

Job description

Nomad is seeking a Senior Full Stack Engineer to design, build and scale AI-powered financial software for fleets. You will own features end-to-end, from design through production, with a focus on secure, scalable systems using React, TypeScript, Node.js and cloud platforms.

Your work will span AI/ML integrations, data workflows, and production-grade security, with opportunities to shape architecture and champion best practices in a fast-moving fintech environment.

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