
501 - 1000 employees
💰 Secondary Market on 2022-06
Airtable enables any team to create apps on top of shared data and power their most critical and unique workflows. Teams at more than 300,000 organizations, including 80% of the Fortune 100, rely on the Airtable Connected Apps PlatformTM to connect their people and data and achieve their most important goals. Founded in 2013 and headquartered in San Francisco, Airtable ranks #6 on the Forbes Cloud 100 and has raised $1.36 billion to date. We’re hiring! Join us in our San Francisco headquarters, or check out openings across Austin, London, Los Angeles, Mountain View, New York, and remote locations. See open roles here: https://airtable.com/careers
🕒 March 18
🇺🇸 United States – Remote
💵 $177k - $250.3k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💝 Customer Support
🦅 H1B Visa Sponsor
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501 - 1000 employees
💰 Secondary Market on 2022-06
Airtable enables any team to create apps on top of shared data and power their most critical and unique workflows. Teams at more than 300,000 organizations, including 80% of the Fortune 100, rely on the Airtable Connected Apps PlatformTM to connect their people and data and achieve their most important goals. Founded in 2013 and headquartered in San Francisco, Airtable ranks #6 on the Forbes Cloud 100 and has raised $1.36 billion to date. We’re hiring! Join us in our San Francisco headquarters, or check out openings across Austin, London, Los Angeles, Mountain View, New York, and remote locations. See open roles here: https://airtable.com/careers
• design and optimize AI agents' reasoning, retrieval, decision-making, and actions • architect knowledge systems, decision logic, and guardrails for AI resolution • measure and improve retrieval precision and contextual relevance • build decision frameworks for automated resolution • establish AI safety and trust measures • monitor feedback loops for actionable insights • develop and maintain prompt architecture for agent reasoning • architect connections between agents and external systems
• deep fluency in how large language models work • hands-on experience with AI agent architectures • ability to partner closely with Engineering on production systems • skills in data flows, state management, error handling, edge cases • ability to write scripts, work with APIs, query databases, and prototype solutions • ability to instrument systems, analyze logs, and use data to diagnose issues • ability to explain complex AI system behavior to non-technical stakeholders • effective communication across engineering, product, and operations teams
• opportunity to receive benefits • restricted stock units
Apply Now🕒 March 18
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