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AI Engineer - Remote / Telecommute

Cynet SystemsMinneapolis, MN🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

Leverage your AI expertise in this remote role, building cutting-edge GenAI models and intelligent agents with excellent flexibility and a competitive hourly rate. You'll thrive here if you have a strong background in machine learning frameworks and cloud technologies, eager to innovate and collaborate in a dynamic environment. Apply today to advance your career with exciting opportunities in AI development.

Quick Overview

Salary
$50 - $55/hr
Work Type
Remote
Level
Mid Senior

Job Description

We are looking for AI Engineer - Remote / Telecommute for our client in Minneapolis, MN.

Job Title: AI Engineer - Remote / Telecommute

Job Location: Minneapolis, MN

Job Type: Contract

Job Overview:

Pay Range $50hr - $55hr

Requirement/Must Have:

  • 3+ years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
  • 2+ years of hands-on experience in developing and deploying AI agents and machine learning models.

Responsibilities:

  • Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry).
  • Build and experiment with GenAI models and agentic workflows.
  • Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.
  • Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.
  • Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.
  • Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.
  • Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.
  • Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.
  • Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.

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Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Skills

Machine Learning
SOC 2
Agile
Azure
Databricks
PyTorch
TensorFlow

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