Build AI agents and workflows for customer-facing and operator-use cases.
Design tool-use patterns for safe AI interactions with backend systems and device data.
Build retrieval, structured outputs, prompts, guardrails, monitoring, and fallbacks.
Collaborate with product/design to create trustworthy AI UX.
Collaborate with backend and edge engineers to connect AI workflows to real data.
Measure AI performance in task completion, accuracy, safety, UX, and business value.

🎯 Requirements

Experience building AI, LLM, agentic, or automation systems.
Strong programming in Python or TypeScript.
Experience with LLM APIs, tool calling, retrieval, evaluations, and production AI workflows.
Understanding of prompt engineering, RAG, agent orchestration, AI evaluation, and failure modes.
Ability to build reliable, useful, maintainable systems.
English fluency required.

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