Copilot AI Engineer (Hybrid)

Apex Systems; Charlotte (NC); Hybrid; USD 87,000 - 90,000; Part time

Benefits offered by this job

Benefits package

401K

HSA

Job summary

Everforth Apex is seeking a Generative AI Engineer in Charlotte, NC, offering a hybrid work setup. You will shape Copilot-driven solutions, define requirements, and mentor teams to implement agentic workflows that align with business goals.

The role emphasizes collaboration with data, product, and engineering partners to deliver scalable, compliant AI applications using Copilot, prompts, and related tools. A strong emphasis on design and performance is expected.

Qualifications

• Bachelor’s degree or equivalent required.
• Minimum of three years of industry experience, including three years with AI tools such as Copilot.
• Deep understanding of Copilot, prompt engineering, and mobile frameworks.

Responsibilities

• Define and prioritize product requirements to enable developer adoption of Copilot and prompt engineering.
• Utilize Copilot hands-on for instructions, prompts, skills, and agents.
• Lead agentic development initiatives to build intelligent, autonomous workflows.
• Partner with data engineers, data scientists, UX designers, application developers, product owners, and stakeholders to deliver cohesive solutions.
• Manage projects and engage multiple stakeholders across technology, product, and business units.

Skills

Copilot

Prompt engineering

Mobile frameworks

Agentic development

Agile practices

Education

Bachelor’s degree

Tools

Copilot Studio

ML principles

Mobile device infrastructure

Performance engineering

Job description

Everforth Apex is seeking a Generative AI Engineer in Charlotte, NC, offering a hybrid work setup. You will shape Copilot-driven solutions, define requirements, and mentor teams to implement agentic workflows that align with business goals.

The role emphasizes collaboration with data, product, and engineering partners to deliver scalable, compliant AI applications using Copilot, prompts, and related tools. A strong emphasis on design and performance is expected.