Senior AI-Driven Web & Cloud App Developer

Phaxis; Nashville (TN); On-site; USD 110,000 - 155,000; Full time

Job summary

Phaxis in Nashville, TN is seeking a senior software engineer with 6+ years of experience in software engineering, application development and systems integration to deliver scalable, high‑quality solutions for complex business needs.

You will build front‑end interfaces with React, Angular or Vue, design and consume REST APIs, handle JSON and authentication, and explore AI services or LLM integrations in cloud deployments on Azure, AWS, or GCP.

Qualifications

• 6+ years of professional experience in software engineering, application development, and systems integration.
• Experience developing and maintaining front-end web applications and user interfaces using modern frameworks such as React, Angular, or Vue.
• Experience building and maintaining scalable web applications with a focus on usability, performance, and maintainability.
• Experience developing, integrating, and consuming REST APIs, working with JSON, authentication mechanisms, data exchange, and error handling.
• Familiarity with AI technologies, AI-powered applications, and integrating AI services or large language models (LLMs) into software solutions.
• Knowledge of cloud-based application development, deployment, and support using Microsoft Azure, AWS, or Google Cloud Platform (GCP).

Skills

Software engineering

Application development

Systems integration

Frontend development

REST APIs

JSON

Authentication

LLMs integration

AI technologies

Cloud platforms (Azure AWS GCP)

Tools

React

Angular

Vue

Job description

Phaxis in Nashville, TN is seeking a senior software engineer with 6+ years of experience in software engineering, application development and systems integration to deliver scalable, high‑quality solutions for complex business needs.

You will build front‑end interfaces with React, Angular or Vue, design and consume REST APIs, handle JSON and authentication, and explore AI services or LLM integrations in cloud deployments on Azure, AWS, or GCP.