We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff engineer on the Submission Processing team, you’ll work at the intersection of AI and backend engineering and have major ownership and agency: design the systems, make architectural calls under ambiguity, and play a key role in setting the technical direction for the team.

You’ll be working on building and scaling LLM-based systems that process billions of highly unstructured data points on a daily basis, extract precise information, and surface insights that insurers rely on for high-stakes decisions. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition. We're a small team where individual contributions have an outsized impact on both our technology and our business.

You'll be right at home if you:

• Have 5+ years of software engineering experience.


• Embody hustle and grit, you're excellent at your craft and relentless in pursuing it.


• Take full ownership of your work and drive projects to completion with minimal oversight.


• Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop.


• Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before.


• Have strong fundamentals in system design, debugging, and problem-solving.


• Have worked with LLMs in production and understand what it takes to deploy them at scale.


• Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments.


• Know Python (our main stack), though we’re open to strong candidates from other OO backgrounds


• Are comfortable with relational databases, ideally PostgreSQL.


• Are excited by problems others are struggling with.


• Bonus: experience with document pipelines and processing large amounts of data