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@ekaterinovikova
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Software Engineer, AI

remoteSan Francisco, USСкор undefined/1001нед назад
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llmnotion
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Описание
Ambrook helps American family-run businesses become more profitable and resilient. From volatile markets to climate shifts, independent operators face mounting pressure. While sustainable investments often yield the best long-term returns, they require financial clarity and capital that fragmented legacy systems can’t provide. We are rebuilding the financial infrastructure that real economy operators rely on. By replacing paperwork with modern tools for accounting, banking, and spending, Ambrook gives owners the data they need to prove viability to lenders and the next generation. We empower the stewards of land and labor to make confident investments in their future. We’re a Series B startup backed by Lachy Groom, Thrive Capital, Dylan Field, Thomson Reuters Ventures, Cameron Ventures, and leaders at Notion, Gusto, and Vercel . We’re looking for team members to help us untangle the intersection of American industry, climate, and the economy. The opportunity Ambrook is building a world-class team to empower farmers, ranchers, and small-business owners using modern AI tools. You’ll shape how we use LLMs and intelligent systems to make messy, high-stakes financial workflows faster, smarter, and more accessible for users across the country. We’re shipping features across the financial landscape, from better receipt parsing and review to auto-categorization to intelligent conversational AI features that let people get a deeper understanding of their books and their business with fewer clicks. We’ve got a big vision of making AI work for real family businesses, not just mega-corps. If you’re interested in building with us, let’s talk. ​​We’re looking for someone who we can count on to… Own: Development of intelligent systems and tools that use LLMs, NLP, and heuristics to streamline bookkeeping, inbox triage, and financial workflows. Teach: Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure. Learn: How messy real world
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