Full Stack Engineer, AI Systems

Role Overview

• Build end-to-end product features across frontend, backend, and AI integrations
• Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
• Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
• Design real-time AI interactions with streaming, partial results, and tight latency constraints
• Improve system reliability, observability, and fallback mechanisms
• Collaborate closely with ML, backend, and product teams to ship features end-to-end
• Continuously iterate based on real usage and failure modes

Requirements

• Strong experience in full stack engineering (frontend + backend)
• Solid understanding of system design and API architecture
• Experience working with LLMs, RAG systems, or AI-powered applications
• Ability to handle ambiguity and make pragmatic engineering decisions
• Strong ownership
• able to take features from idea to production
• Comfort working in fast-moving environments with evolving requirements.

Benefits

• The best products today in the world were built by small, world class teams.
• We are a high talent density and hands-on team.
• We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.
• Joining our team requires the ability to bring structure, exercise judgment, and execute independently.