Casca - Forward Deployed Engineer
deCircle · San Francisco, California, United States
Checked against recruitee. Still accepting applications.
- Location
- San Francisco, California, United States
- Posted
Source: Paraform - <https://www.paraform.com/share/casca/cmqh1b733000e0cjmu6yvzyr6> · Company: [www.cascading.ai](https://www.cascading.ai)
Location: On-site at Market and Montgomery, San Francisco, CA · Full-time · $160K - $265K based on experience ($160K-$190K for FDE, 0-3 yrs; up to $265K for senior, 3-5+ yrs) plus 75th percentile equity · Not open to any visas (US citizen, Green Card holders)
About Casca
Casca is building AGI for banking, replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work in lending, built on responsible, compliant AI practices including human-in-the-loop monitoring. Founded 2023 by banking and machine learning experts from Stanford; backed by Peterson Ventures, Y Combinator, The Sarah Smith Fund and Clocktower Technology Ventures. 45 employees, $33M total funding, SF.
The role
A builder role working directly with customers: sit alongside bank operators, learn their workflows deeply, and build software that changes how they work. Not a consultant delivering last-mile work: what you learn in the field becomes part of the Casca platform. Hiring across levels: Forward Deployed Engineer (roughly 0-3 years) and Senior Forward Deployed Engineer / Tech Lead (roughly 3-5+ years, owning architecture and the most complex parts of a deployment). Roughly 70% building and shipping, 30% embedded with customers.
What you'll do
- Embed on-site with bank teams, working alongside underwriters, lenders and operators
- Turn your understanding into working software that automates and improves workflows; build on Casca's platform to extend it into new use cases
- Deploy AI-powered systems that replace manual processes and iterate quickly on real user feedback in production
- Help migrate customers from legacy systems to modern, scalable solutions
- Own the lifecycle end to end, from problem definition to deployment, and feed field learnings back into the platform and product direction
Tech stack
TypeScript, React, Next.js, PostgreSQL (Prisma), Python, AWS, Azure, AI/LLMs
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