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OpenSesame

Applied AI Engineer, Internal Automation

Remote (Remote)$150k–$170kmidAdded today

About this role

OpenSesame is seeking an Applied AI Engineer to transform internal automation by converting AI prototypes into production-ready systems and building a scalable component library for internal business teams. You'll establish engineering rigor through TDD and CI/CD practices while partnering with non-technical departments to create reusable AI workflows and intelligent automation tools.

What you'll do

  • Mature existing AI proofs-of-concept into reliable, production-grade RAG systems and intelligent workflows
  • Establish and maintain a reusable component library enabling rapid deployment of AI-driven automation across business units
  • Partner with internal AI Champions across Sales, Marketing, and Finance to identify bottlenecks and prioritize automation opportunities
  • Implement Test-Driven Development, CI/CD automation, infrastructure-as-code practices, and monitoring standards
  • Reduce manual deployment steps and improve release reliability through pipeline optimization and Terraform-based infrastructure
  • Create documentation and self-serve capabilities that empower non-technical teams to scale intelligent workflows independently

What they're looking for

  • Retrieval-Augmented Generation (RAG) systems
  • Test-Driven Development (TDD) and CI/CD practices
  • Infrastructure-as-code (Terraform)
  • Python or similar automation scripting languages
  • System integration and API development
  • Monitoring, logging, and observability tools
  • Pragmatic problem-solving and technology selection
  • Internal stakeholder management and cross-functional collaboration
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OpenSesame

OpenSesame builds an eLearning platform designed for workforce development and reinvention. They are hiring Software Engineers and AI Engineers to enhance their platform with modern technologies and intelligent, scalable AI-driven solutions.

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Likely interview questions

  • Walk us through a time you turned a proof-of-concept or experimental idea into a production system—what engineering practices did you implement?
  • Describe your experience building or maintaining CI/CD pipelines. How have you reduced deployment friction or improved release reliability?
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