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INTL - AI Engineer
Career Insights for Artificial Intelligence Engineer (General)
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Based on Arkansas data
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$140,691 / year median in Arkansas
Job Description
INTL
- AI Engineer
at Insight Global in Rogers, Arkansas, United States
Job Description
Job Description
We are looking for high-impact Full Stack Engineers to build and scale a next-generation Agentic AI platform focused on automating complex enterprise workflows.
This role will play a key part in developing AI-driven agents, ranging from simple task automation to highly complex, business-critical systems supporting areas such as claims processing, HR workflows, and enterprise automation.
This is a fast-paced, highly autonomous environment ideal for engineers who thrive in modernizing legacy systems while building innovative AI-driven solutions from the ground up.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.
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Insight Global's Workforce Privacy Policy:
insightglobal/workforce-privacy-policy/.
Skills and Requirements
- 8+ years of React and Node experinece
- Experience with AI / agent-based systems / automation (building agents)
- Self-starters (low oversight environment)
- Can present to stakeholders
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