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Tech Lead Full Stack AI-Enabled Applications

Kanshe InfotechSpring, TX🇺🇸United StatesPosted 24 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Spring, TX, United States
Posted
21 hours ago
FlaskNode.jsSpringAWSAngularAzureC#ASP.NETGitGitHub ActionsJavaScriptPythonRESTReactRoot Cause AnalysisStakeholder ManagementTerraform

Job Description

Job Title: Full Stack Tech Lead – AI-Enabled Applications

Location: Spring, TX – 100% Onsite
Job Type: Long-Term Contract

 

Top Skills

C# | Python | JavaScript | Angular | React | Azure/AWS | REST APIs | CI/CD | Terraform | DevOps


Job Description

We are seeking a Full Stack Tech Lead to provide technical leadership across multiple AI-enabled software development initiatives. The ideal candidate will be a hands-on technical leader with strong full-stack development, cloud, architecture, and DevOps experience.


Key Responsibilities

  • Provide technical leadership across multiple AI-driven development workstreams.
  • Lead solution design, development standards, code reviews, and technical assessments.
  • Build scalable and secure full-stack applications and RESTful APIs.
  • Collaborate with Product, DevOps, Architecture, Risk, and business teams.
  • Support CI/CD, deployments, troubleshooting, and production issue resolution.
  • Ensure adherence to security, governance, documentation, and release standards.
  • Perform root cause analysis and drive resolution of technical issues.
  • Mentor development teams and promote engineering best practices.


Required Skills

  • 7–10+ years of software development experience, including senior/lead experience.
  • Strong hands-on expertise with C#, Python, JavaScript, Angular, and React.
  • Experience developing RESTful APIs using ASP.NET Web API, Node.js, or Flask.
  • Hands-on experience with Azure and/or AWS.
  • Experience with CI/CD, Git, GitHub Actions, and Terraform.
  • Strong knowledge of OOAD, SOLID principles, secure coding, and automated testing.
  • Excellent communication, problem-solving, and stakeholder management skills.


Preferred Skills

  • Experience supporting AI-enabled applications.
  • Experience with enterprise-scale software solutions.
  • Strong understanding of cloud architecture and DevOps practices.

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