AI & Automation Engineer, AgentOps

bet365Denver, CO
4h$115,000 - $155,000Hybrid

About The Position

We are seeking a talented and driven AI & Automation Engineer, to join our newly formed AgentOps team. This is a core 'builder' role responsible for designing, developing, and deploying AI agents and automated workflow solutions to solve key business challenges. The successful candidate will be a hands-on developer with a passion for automation, using workflow automation platforms to integrate AI capabilities into our business systems. You will play a pivotal role in transforming manual processes and enabling pragmatic intelligent automation across the organization. The listed salary for this position is $115,000 - $155,000 annually.

Requirements

  • Demonstrated success as an Automation Engineer, Software Developer, or similar role.
  • Strong programming skills.
  • Expertise in working with RESTful APIs and other integration methods.
  • Hands-on experience with workflow automation platforms (e.g., n8n, Make, Zapier).
  • A solid understanding of solution architecture and design principles.
  • Exceptional analytical and problem-solving abilities.
  • Proven ability to work collaboratively within a cross-functional team.
  • Excellent organizational skills and acute attention to detail.

Responsibilities

  • Developing and deploying robust and scalable AI agents and workflow solutions.
  • Integrating AI solutions with various systems and data sources via APIs.
  • Collaborating with the AgentOps Team Leader and business stakeholders to understand requirements and design effective, production grade automation solutions.
  • Writing, testing, and maintaining high-quality code and workflow configurations.
  • Monitoring, debugging, and troubleshooting deployed AI agents to ensure high performance and reliability.
  • Contributing to the full lifecycle management of AI solutions, including testing, versioning, and documentation.
  • Analyzing and optimizing workflows for efficiency, cost, and accuracy.
  • Partnering with teams such as Innovation and Data Science to implement advanced models into operational workflows.
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