AI Automation Engineer: US Time Zones

Nxtwave Disruptive Technologies (Hiring for a Client)

United States

Remote

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

Nxtwave Disruptive Technologies (Hiring for a Client) is seeking an AI Engineer with hands-on experience building AI-powered applications, automated workflows, and intelligent agents. You will own end-to-end development from design to deployment.

You will integrate APIs and databases, work across document processing and data extraction, implement robust logging and monitoring, and translate business needs into scalable technical solutions while collaborating across time zones in the US.

Qualifications

  • Hands-on experience with AI applications, agents, or automation workflows.
  • Knowledge of APIs, integrations, and databases.
  • Strong analytical and problem-solving abilities.
  • Good communication and decision-making skills.
  • Ability to work independently and take ownership.
  • Willingness to work with US time zones (Eastern and Pacific).

Responsibilities

  • Build and deploy AI-powered workflows and intelligent agents.
  • Develop automation solutions to improve business processes.
  • Integrate APIs, databases, and external systems.
  • Work on document processing, data extraction, and automated communication workflows.
  • Develop reliable, scalable, production-ready solutions.
  • Implement logging, monitoring, error handling, and human review mechanisms.
  • Understand business requirements and translate them into technical solutions.
  • Take end-to-end ownership of development, deployment, and improvements.

Skills

AI applications
Automation workflows
APIs & databases
Problem-solving
Ownership mindset
Communication
Independent work

Job description

Nxtwave Disruptive Technologies (Hiring for a Client) is seeking an AI Engineer with hands-on experience building AI-powered applications, automated workflows, and intelligent agents. You will own end-to-end development from design to deployment.

You will integrate APIs and databases, work across document processing and data extraction, implement robust logging and monitoring, and translate business needs into scalable technical solutions while collaborating across time zones in the US.

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