AI Engineer

Insight Global; United States; Remote; USD 83,000 - 138,000; Part time

Benefits offered by this job

Remote work

Job summary

Insight Global is seeking a skilled AI Engineer for a 6-month remote contract with potential to convert to full-time. The role is remote within the United States, with responsibilities spanning design and build of AI-powered applications, translating business challenges into AI-driven solutions, prototyping, and integrating AI into existing processes.

Ideal candidates have 2–4 years of AI experience and familiarity with Claude, Codex, Copilot or similar tools, and are comfortable collaborating

Qualifications

• 2–4 years of hands-on AI experience.
• Familiar with Claude, Codex, Copilot or similar AI tools.
• Remote work capable and collaborative.

Responsibilities

• Design and build AI-powered applications, agents, automations, and workflows.
• Translate business challenges into AI-driven solutions.
• Prototype quickly and iterate based on user feedback.
• Integrate AI capabilities into existing tools, systems, and processes.
• Partner with technical and non-technical stakeholders to drive AI adoption.
• Evaluate, test, and improve AI solutions for reliability, usability, and business value.
• Educate users and teams on AI capabilities, limitations, and best practices.
• Use AI-assisted development tools as part of your daily workflow.

Skills

AI development

AI integration

Tools

Claude

Codex

Copilot

Job description

6 Month Contract (potential FTE conversion)

Remote

2-4 years of experience within AI

General AI experience - exposure to working with various tools (ie: Claude, Codex, Copilot, etc.)

What You’ll Do

• Design and build AI-powered applications, agents, automations, and workflow solutions.
• Translate business challenges into practical AI-driven solutions.
• Prototype quickly and iterate based on user feedback.
• Integrate AI capabilities into existing tools, systems, and business processes.
• Partner with technical and non-technical stakeholders to drive AI adoption.
• Evaluate, test, and improve AI solutions for reliability, usability, and business value.
• Educate users and teams on AI capabilities, limitations, and best practices.
• Use AI-assisted development tools as part of your daily workflow.