Pylon-posted 2 months ago
Full-time • Senior
San Francisco, CA
51-100 employees

At Pylon, we're a small team building a very ambitious product in the mortgage space. At this early stage, we're looking for an engineer who can see the opportunity of what we're building towards and wants to have a hand in building it. We're in search of someone who finds difficult problems invigorating and fits well into a high-performing team built on mutual respect and reliance. If you like pushing yourself to learn a massive amount while shipping code that has a huge impact on the end product, Pylon Engineering could be a great place for you. You'll be a founding member of our AI team, working directly with the CTO to automate mortgage underwriting. Your job is to take complex, open-ended problems and figure out how to solve them—sometimes that means LLMs, sometimes it's a rules engine, sometimes it's a vendor API, and sometimes it's just good code. Mortgage underwriting involves hundreds of discrete verification, compliance, and validation steps. You'll be tackling these sub-problems one by one—each is greenfield and requires different technical approaches. You'll define the approach, architect the solution, write a significant portion of the code yourself, and ship it to production. As the team grows, you'll determine how to split up the work and set technical direction. This isn't a pure ML role—we're not training models from scratch. It's also not about integrating off-the-shelf APIs. It's about having strong technical judgment to pick the right tool for each problem, then building production systems that work in a regulated environment. You'll be hands-on from day one. Week one includes taking an underwriter certification course to deeply understand the domain you're automating. You'll work in our existing mortgage engine codebase, building new automation services that integrate with the platform.

  • Take complex, open-ended problems and figure out how to solve them.
  • Define the approach, architect the solution, and write a significant portion of the code.
  • Ship code to production and determine how to split up the work as the team grows.
  • Build new automation services that integrate with the existing mortgage engine codebase.
  • Strong systems engineering foundation.
  • Experience building large-scale production systems at high-caliber technology companies.
  • Ability to write maintainable code.
  • Understanding of distributed systems, APIs, data consistency, and operational excellence.
  • Experience making consequential architectural decisions.
  • Recent AI/ML product experience, particularly with LLMs or ML in production.
  • Ability to evaluate when AI is the right tool and when it's not.
  • Experience with prompt engineering, model evaluation, or integrating third-party AI services.
  • Technical judgment across problem spaces.
  • Comfort with regulated domains, ideally in fintech or healthtech.
  • Hands-on execution, building systems yourself.
  • Experience in a regulated space like fintech or healthtech.
  • Ability to absorb complex domain knowledge and apply it to technical decisions.
  • Stock options: own a piece of the company.
  • Health insurance.
  • 401K.
  • Dental insurance.
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