Founding Fullstack Engineer, AI Startup

This is for a client of Recruiting from Scratch.Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.About our ClientOur Client is an AI platform solving a unique finance use case.Location : NYC, Flatiron office. In-person team.Your roleBuild and engineer software systems around sophisticated ML models.Take ownership and report directly to co-founders.Oversee significant parts of our tech and product.Set culture and practice, shaping our early engineering culture and processes.Evolve our approach on frontend infrastructure, web server design, abstractions, etc.Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility.Balance long-term thinking and smart abstractions with shipping fast and iteratively.What you have:5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experience.Exercise a high-degree of autonomy and technical authority.Willing and interested to jump across multiple disciplines.Team-first mentality: interested in building for the long-term alongside founding team members, committed to mentoring others and being mentored.Genuinely excited about our tech and its impact on accounting, finance, and economy.Curious about the latest AI: experimented with ChatGPT, etc.Experience with financial workflows: worked with corporate financial data/products geared to finance professionals.NYC-based: seeking in-person environment; working from office most days of the week.This is not a 9-5; we have a massive opportunity ahead of us and are looking to multiply our engineering speed. We are optimizing for the best folks and happy to compensate generously.A little something extra: you know it when you see it.Bonus pointsA knack for spotting and recruiting engineering talent.Hands-on experience with data science projects.Experience training models or building ML-ops systems.Experience with foundational fintech APIs (e.g., Quickbooks, Plaid, etc.).Experience owning a product end-to-end.Salary Range: $100,000-$200,000 base. Equity. Medical, Dental, Vision.

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