[Hiring] Applied AI Engineer @OpenSesame

Role Description

The Workforce Reinvention – AI Engineer will help scale modular tools, intelligent workflows, and production-grade Retrieval-Augmented Generation (RAG) systems that support internal business operations. This person will serve as a pragmatic builder who consistently selects the most efficient solution for each challenge, whether through system integrations, lightweight scripting, reusable automation components, or custom AI agents.

The role will focus initially on maturing existing AI proofs-of-concept into reliable production systems while establishing engineering rigor through:

• Test-Driven Development (TDD)
• CI/CD automation
• Infrastructure-as-code practices
• Operational monitoring

Success in this role will require strong partnership with internal “AI Champions” across departments to create reusable automation capabilities that empower teams to safely self-serve and scale intelligent workflows across OpenSesame.

Performance Objectives

• 30 Days — Onboarding, Context, and First Contribution:
  • Develop a comprehensive understanding of the current Workforce Reinvention architecture, codebase, deployment pipeline, and existing AI proofs-of-concept.
  • Build strong working relationships with AI Champions in Sales, Marketing, and Finance.
  • Successfully contribute and deploy a small but meaningful workflow improvement, automation script, or enhancement to an active internal tool.
• 60 Days — Production Launch & Component Foundations:
  • Take ownership of deploying a production-grade RAG workflow or intelligent internal tool built from a previously validated concept.
  • Partner closely with AI Champions to identify and prioritize workflow bottlenecks.
  • Begin to establish reusable modular automation blocks and standardized development patterns.
• 90 Days — Engineering Rigor & Pipeline Optimization:
  • Lead improvements to the CI/CD pipeline that significantly reduce manual deployment steps.
  • Implement infrastructure-as-code practices using tools such as Terraform.
  • Introduce robust monitoring, logging, and observability standards.
• 6 Months — The Scalable Automation Ecosystem:
  • Fully establish and maintain a reusable component library for rapid deployment of AI-driven and traditional automation workflows.
  • Create a sustainable operational model where engineering maintains stable infrastructure.

What Success Looks Like

• Successfully turns experimental AI ideas into scalable production systems that improve operational efficiency across OpenSesame.
• Builds reliable, maintainable automation frameworks that internal teams can confidently use and expand on.
• Becomes a trusted technical partner to AI Champions and helps create a scalable automation ecosystem that increases productivity across the company.

Location

• This position can be based anywhere in the US.
• Remote-first company with all-company in-person meetings several times a year.

Compensation

• The salary for this role ranges between $150,000 - $170,000 per year, depending on experience.

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible PTO
• 401(k) matching
• Incentive stock options
• Volunteer time off
• Employee Resource Groups
• Generous professional development program with dedicated annual time off for learning and growth