Applied AI Engineer

📋 Description

• Build agents that run real parts of the business and take on real work
• Own solutions end to end within growth pods
• Find the problems worth solving and implement solutions
• Make agents reliable, measurable, and safe for business dependency

🎯 Requirements

• Python, SQL, LLM APIs and agent orchestration
• Shipped production systems others relied on, starting from a vague problem
• Built with LLMs beyond a demo and know how to evaluate them and where they fail
• Measure whether what you built worked

🎁 Benefits

• Innovative culture: part of a generational opportunity to define AI trajectory
• Growth paths: countless opportunities to drive impact beyond the immediate role
• Learning & development: annual discretionary stipend for professional development
• Social travel: annual discretionary stipend to meet up with colleagues
• Annual company offsite: team gathering at a new location each year
• Co-working: monthly stipend if not located near a main hub