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Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. As part of the Submission Processing team, you will work at the intersection of AI and backend engineering - this is core R&D work, not routine development. Your day-to-day will involve building LLM-based solutions that process millions of insurance documents at scale, extracting precise information about companies and synthesizing it into a complete picture of the insured. 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.
Job Responsibility:
Work at the intersection of AI and backend engineering - this is core R&D work, not routine development
Building LLM-based solutions that process millions of insurance documents at scale, extracting precise information about companies and synthesizing it into a complete picture of the insured
Collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions
Requirements:
5+ years of software engineering experience with deep Python expertise
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
Are fluent with coding agents and AI-assisted development - you don't just tolerate AI tools, you actively push their boundaries
Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments
Are comfortable with relational databases, ideally PostgreSQL
Are excited by R&D and want to solve problems others are still struggling with
What we offer:
Significant equity options package
401(k) plan with employer contribution (regardless of employee contribution)
100% covered medical, 100% covered vision and dental, and others