Applied AI Engineer, Internal Automation
OpenSesame2 hours ago
Remote, WorldwideSenior
Base Salary
$150k - $170k/yr
Responsibilities
- Deploy production-grade RAG workflows and intelligent internal automation tools.
- Build modular automation components and maintain a reusable enterprise component library.
- Improve CI/CD pipelines to reduce manual deployment work and increase release reliability.
- Implement infrastructure-as-code practices using Terraform.
- Establish monitoring, logging, and observability standards for critical internal automation APIs and workflows.
- Partner with AI Champions in Sales, Marketing, and Finance to identify bottlenecks and enable safe self-service automation.
- Maintain stable infrastructure, automated testing, documentation, and operational processes.
Requirements
- Proven experience turning experimental AI concepts into scalable production systems.
- Demonstrated ability to build reliable, maintainable automation frameworks and measurable operational improvements.
- Ability to work with internal business stakeholders and create solutions that non-technical users can safely adopt.
- Ability to operate with test-driven development, CI/CD, release processes, monitoring, and infrastructure-as-code practices.
- Strong ownership, self-direction, and a track record of delivering excellent results.
Benefits
- Remote-first work arrangement, with the position available anywhere in the US.
- Several all-company in-person meetings per year and up to 15 travel days annually.
- Comprehensive medical, dental, and vision coverage.
- Flexible paid time off and volunteer time off.
- 401(k) matching and incentive stock options.
- Employee Resource Groups.
- Professional development program with dedicated annual learning time off.
Tech Stack
Categories
About OpenSesame
OpenSesame is a workforce learning platform that helps organizations deliver the training their business depends on. Customers access 60,000+ curated courses, create and customize training, use AI-powered learning tools, and deliver learning in the flow of work—helping people build skills, reduce risk, and stay ready for what's next.