Remote AI-Driven Full-Stack Architect

Valmont Industries, Inc.; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Valmont Industries, Inc. is seeking a Senior Full Stack Developer to own end-to-end AI-driven software solutions. The role focuses on cloud-native design and modern frontends using Angular or React, with strong Python and .NET background.

You will collaborate with Data Science to integrate models, work with enterprise platforms, and ensure production-grade engineering practices in an industrial setting. Travel up to 15% is required.

Qualifications

• Bachelor’s or Associate degree with 7+ years relevant experience.
• Proven experience as a Full Stack Developer.
• Strong expertise in cloud infrastructure and cloud-native system design.
• Hands-on experience with Angular and/or React & Azure based programming.
• Experience building or deploying AI-enabled or data-intensive systems (Advantage).
• Experience developing internal enterprise platforms or tools (Advantage).
• Demonstrated ability to take ownership of projects end-to-end.
• Strong Python development experience.
• Experience with ASP.NET, VB.Net, C#.net, ADO.Net, Entity Framework, SQL, and Web Services.

Responsibilities

• Own AI-driven software solutions end-to-end from discovery to deployment.
• Work with internal teams to optimize workflows and automation.
• Design, build, and operate cloud-native systems with Python and modern frontends.
• Collaborate with Data Science to integrate AI models into production.
• Lead project teams through data validation and testing, with end-user involvement.

Skills

Full stack

Python

Azure

Angular/React

ASP.NET

SQL

GitHub/Azure DevOps

Education

Bachelor’s or Associate degree

Tools

Azure DevOps

GitHub

SQL Server

Job description

Valmont Industries, Inc. is seeking a Senior Full Stack Developer to own end-to-end AI-driven software solutions. The role focuses on cloud-native design and modern frontends using Angular or React, with strong Python and .NET background.

You will collaborate with Data Science to integrate models, work with enterprise platforms, and ensure production-grade engineering practices in an industrial setting. Travel up to 15% is required.