Summary

As an applied ai engineer, you will turn llm model capabilities into reliable, production-ready AI features for a smart assistant. You will design and iterate on prompts, tools, memory, and agent workflows, build evaluation frameworks, and debug issues across model, orchestration, infra, and ux while optimizing for latency, cost, and reliability.

Responsibilities

• Build and ship ai features end-to-end
• Design and iterate prompts, tools, and memory
• Convert model outputs into structured behaviors
• Debug issues across model, orchestration, and ux
• Optimize latency, cost, and production reliability
• Develop evaluation frameworks for real-world performance
• Translate ambiguous problems into working systems