Onsite AI Engineer — Azure GenAI & Full-Stack

MINDFUL TECH SOLUTIONS; Knoxville (TN); On-site; USD 20,000 - 24,000; Part time

Benefits offered by this job

$2,000/month

40-hour work week

Initial 3–6 month contract

Performance-based salary increase

Contract extension

Pay: $2,000.00 per month

Job summary

Mindful Tech Solutions is seeking an onsite AI Engineer in Knoxville, TN to design, deploy, and iterate on AI/ML and Generative AI applications with Azure full-stack development.

Responsibilities include designing, developing, testing, and deploying AI-powered applications; building AI/ML and Generative AI solutions; and developing Azure cloud-based full-stack applications across REST APIs, databases, backend and frontend technologies. The role emphasizes collaboration and on-time delivery.

Qualifications

• Strong programming skills with Python
• Understanding of AI/ML or Generative AI concepts
• Familiarity with Microsoft Azure Cloud
• Experience working with REST APIs, databases, Git, and GitHub
• Basic understanding of full-stack application development
• Strong analytical and problem-solving skills
• Ability to learn quickly and adapt to new technologies

Responsibilities

• Design, develop, test, and deploy AI-powered applications
• Build and integrate AI/ML and Generative AI solutions
• Develop Azure Cloud-based full-stack applications
• Work across REST APIs, databases, backend services, and frontend technologies
• Use AI-assisted development tools such as Claude Code and similar coding assistants
• Troubleshoot issues, optimize performance, and improve application reliability
• Research and prototype emerging AI technologies
• Collaborate with team members to deliver production-ready software
• Own assigned projects and deliver quality work on time

Skills

Python

AI/ML

Generative AI

Azure Cloud

REST APIs

Databases

Git

GitHub

Analytical thinking

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Mindful Tech Solutions is seeking an onsite AI Engineer in Knoxville, TN to design, deploy, and iterate on AI/ML and Generative AI applications with Azure full-stack development.

Responsibilities include designing, developing, testing, and deploying AI-powered applications; building AI/ML and Generative AI solutions; and developing Azure cloud-based full-stack applications across REST APIs, databases, backend and frontend technologies. The role emphasizes collaboration and on-time delivery.