Staff Backend Engineer - Submission Processing

Kalepa
$200,000 - $290,000Remote

About The Position

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.

Requirements

  • 8+ 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
  • Strong fundamentals in system design, debugging, and problem-solving
  • Worked with LLMs in production and understand what it takes to deploy them at scale
  • 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
  • Comfortable with relational databases, ideally PostgreSQL
  • Excited by problems others are struggling with

Nice To Haves

  • Experience with document pipelines and processing large amounts of data

Responsibilities

  • Design the systems
  • Make architectural calls under ambiguity
  • Play a key role in setting the technical direction for the team
  • Build and scale LLM-based systems that process billions of highly unstructured data points on a daily basis
  • Extract precise information
  • Surface insights that insurers rely on for high-stakes decisions

Benefits

  • Competitive salary (based on experience level)
  • Significant equity options package
  • Work with an ambitious, smart, global, and fun team to transform a $7T global industry
  • 20 days of PTO a year
  • Global team offsites
  • 100% covered PPO medical, 100% covered vision and dental for individuals and families
  • Healthy living/gym stipend
  • Mobile phone bill stipend
  • Continuing education credits
  • 401(k) plan with employer contribution (regardless of employee contribution)
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