Build AI agents and workflows for customer-facing and operator-facing use cases.
Design tool-use patterns to interact safely with backend systems and device data.
Build retrieval, structured outputs, evaluations, and prompts.
Implement guardrails, monitoring, and fallback behavior.
Work with product/design to create trustworthy AI user experiences.
Connect AI workflows to real system data with backend/edge engineers.

🎯 Requirements

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

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