Founding AI Engineer - Resiquant AI

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Founding AI Engineer - Resiquant AI

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Pear VC About Us

Our mission is to empower insurers, financial institutions, and asset managers with AI systems fused with structural engineering expertise. These systems bridge critical data gaps to deliver precise, actionable building insights for better decision-making.

Founded by Stanford PhDs, we are committed to leveraging cutting-edge AI to protect communities and businesses from disaster impacts. At ResiQuant, we're building a future where every organization has access to world-class property risk intelligence to drive resilience and safeguard what matters most. The Role We’re seeking a visionary

Founding AI Engineer

to design and build powerful agentic AI systems from the ground up. As one of the first technical hires, you’ll shape our AI culture, architecture, and long-term strategy while ensuring our platform delivers production-grade intelligence at scale. Responsibilities

Design and implement cutting-edge multimodal AI systems for text and visual data. Build production-ready generative AI applications with human-in-the-loop workflows. Architect scalable AI infrastructure, pipelines, and deployment standards. Integrate domain-specific structural engineering expertise into AI models. Lead technical innovation and mentor engineers as the team scales.

Requirements

5+ years of experience building production AI systems with LLMs and Vision-Language Models. Proven track record with multimodal AI (text + visual data). Expert in Python and modern ML frameworks. Strong background in MLOps, model deployment, and cloud infrastructure. Experience with human-AI collaboration frameworks and enterprise AI reliability. Leadership experience in fast-paced, high-growth environments. Passion for applying AI to real-world resilience and disaster risk challenges. What We Offer

Competitive salary + founding equity. Comprehensive health, dental, and vision benefits. 401(k) with company match. Daily lunch + commute support in our SF office. Access to state-of-the-art AI research and computing resources.

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