AI Automation Engineer

Summary

Join Quora as their first AI Automation Engineer and lead the implementation of AI across the company. This unique opportunity allows you to shape how LLMs are integrated into daily operations, automating work to increase productivity and improve product quality. You will collaborate with various teams to identify and solve high-impact problems, rapidly prototyping and deploying AI-enabled tools. This role requires a pragmatic and curious engineer focused on real-world impact, laying the groundwork for internal AI applications with an emphasis on utility, trust, and adaptability. You will work with state-of-the-art models and have the chance to experiment and iterate quickly. The position is remote-first and offers a chance to make a significant impact.

Requirements

• Availability for meetings and impromptu communication during Quora's “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time)
• Experience creating LLM-backed tools involving prompt engineering and automated evals
• 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript
• Excellent debugging skills and the ability to manage multiple projects simultaneously
• High level of ownership and accountability, especially with sensitive or business-critical data
• Strong communication skills and a collaborative mindset
• Comfortable working in a fast-paced, sometimes ambiguous environment with shifting priorities
• Experience working cross-functionally with teams outside of product development
• A natural collaborator who enjoys being a partner and creating utility for others

Responsibilities

• Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
• Use AI as much as possible to automate your own process of creating this software
• Collaborate with teams across the business to understand pain points and identify high-impact automation or process improvement opportunities
• Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
• Supervise the choices AI is making in areas like architecture, libraries, or technologies, and be ready to debug complex systems across frontend and backend services when AI cannot
• Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
• Work cross-functionally to ensure tools are adopted and deliver obvious value
• Stay updated on the latest models and tools, and apply that knowledge to your work

Benefits

• Medical/dental/vision coverage
• Equity refreshers
• Remote work reimbursement
• Paid time off
• Employee assistance programs