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Kalepa

AI-powered underwriting decision support platform

Senior Backend Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of software engineering experience building and operating backend systems in production.
  • Knowledge of Python, the main technology stack, or strong experience with another object-oriented programming background.
  • Experience with AWS, serverless technologies such as Lambda and Step Functions, asynchronous workflows, and cloud environments.
  • Strong knowledge of relational databases and performance tuning, ideally PostgreSQL.
  • Mastery of software development fundamentals, including system design, debugging, testing, and problem-solving.
  • Experience building external-facing APIs or designing integrations with third-party systems.
  • Ability to take full ownership of work and drive projects to completion with minimal oversight.
  • Ability to communicate proactively by surfacing blockers, asking relevant questions, and keeping stakeholders informed.
  • Comfort testing ideas, measuring results, and iterating quickly on novel problems.

Responsibilities

  • Lead the scoping, design, and delivery of complex backend systems in Python on AWS, including services, data models, and asynchronous pipelines.
  • Build and scale large-volume LLM-based systems for processing unstructured documents and data with precision and explainability.
  • Design external-facing APIs and integrations with third-party systems used by customers.
  • Own database and query performance as data volume grows, and proactively manage technical debt.
  • Contribute to architectural discussions and decisions across the product, and work with teams to modify and prioritize development efforts.
  • Estimate work accurately, consistently meet deadlines, and help others estimate their work.
  • Take a leading role in incident and bug resolution, serving as a strong debugger for colleagues.
  • Lead adoption of development, testing, and deployment best practices.
  • Mentor other engineers through code review, pairing, and design feedback.
  • Use AI tooling deliberately to increase personal output and quality.

Desired Qualifications

  • Experience working with LLMs in production and understanding what is required to deploy them at scale.
  • Experience with document pipelines and processing large amounts of data.
  • Experience with distributed systems.
  • Experience in insurance, fintech, or another data-heavy regulated domain.

About the Company

Kalepa

AI-powered underwriting decision support platform

Kalepa provides an AI-powered decision support platform called Copilot for commercial insurance underwriters. It combines artificial and human intelligence to identify true hazards and exposures in businesses, helping underwriters make more accurate risk assessments and pricing. The platform is offered as a software-as-a-service (SaaS) to specialty carriers and other commercial insurers, enabling them to write new and renewal business more efficiently. Copilot works by blending data-driven insights with expert review to guide underwriting decisions, reducing time to quote and improving binding rates. Kalepa differentiates itself by integrating AI with human judgment to focus on real-world hazards and exposures, delivering measurable improvements in underwriting speed and accuracy. The company’s goal is to help insurance carriers reduce anticipated losses and operate more efficiently, ultimately increasing profitability through better risk selection and pricing.

Company size
51-200
Company stage
Series B
Total funding
$89M
Headquarters
New York City, New York
Founded
2018

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