Backend Engineer, Kalepa

$80-105k

+ Equity. Salary benchmarked on US rates & may differ

AWS

Python

Postgres

REST API

Mid and Senior level

Remote from Europe, UK

More information about location

AI-driven commercial insurance provider

Open for applications

AI-driven commercial insurance provider

21-100 employees

FintechB2BArtificial IntelligenceInsurance

Open for applications

$80-105k

+ Equity. Salary benchmarked on US rates & may differ

AWS

Python

Postgres

REST API

Mid and Senior level

Remote from Europe, UK

More information about location

21-100 employees

FintechB2BArtificial IntelligenceInsurance

Company mission

To help commercial and specialty insurers bind with confidence.

Job

Company

Role

Who you are

We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work
Have 3+ years of professional software engineering experience building and shipping production systems
Have excellent development skills including design, debugging, and problem solving
Are strong in Python, with solid fundamentals in at least one other language
Have worked with relational databases, with a preference for PostgreSQL
Have experience with AWS and asynchronous or serverless workflows (EC2, Lambda, etc.)
Can design and build data-driven microservices leveraging RESTful APIs
Have a degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience
Enjoy writing code and solving non-trivial technical problems
Are curious about AI, data, and real-world applications of machine learning
Take ownership and are comfortable working with ambiguity
Move fast, learn quickly, and value high standards
Appreciate direct feedback, meritocracy, and transparency

What the job involves

As a core engineer at Kalepa, you'll work on real product and R&D systems at the intersection of software engineering and applied AI. You will own backend services, data and ML pipelines, and the infrastructure behind our product used by commercial insurance underwriters
You'll build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data, including documents, third-party sources, and model outputs. This is hands-on engineering work on problems that matter to the business, with ownership of systems end to end
You'll collaborate closely with experienced full-stack, backend, ML, and platform engineers, and you'll be expected to shape how production systems are designed, built, tested, and operated at scale. We're a small team where individual contributions have an outsized impact on both our technology and our business

Our take

Insurance products that are underwritten at the Efficient Frontier are essential for businesses to mitigate financial risk, but one-size-fits-all approaches to insurance results in many coverage plans being unfairly priced. The reason for this is that whilst businesses each present their own unique set of hazards, identifying them for each company is an incredibly lengthy process for human underwriters.

Kalepa leverages human-interrupted artificial intelligence to identify the true hazards of a business through a data-driven approach and provide insurance that is priced accordingly. The company claims that it reduces the time that insurance providers take to provide quotes by over 40% and helps businesses save over $15M in losses, whilst also improving coverage uptake for insurance providers.

Whilst the commercial insurance sector is certainly oversaturated, Kalepa stands out by providing its AI-driven underwriting platform to insurance providers, helping them compete through faster quotes and lower prices. In addition to its underwriting platform, the company also provides its solutions in the form of embeddable APIs, and recently formed a new MGA that will underwrite excess casualty risks using Everspan paper.

Freddie

Company Specialist at Welcome to the Jungle

Insights

11% employee growth in 12 months

Glassdoor (4.4)

Company

Company HQ

Flatiron District, New York, NY

Leadership

Paul Monasterio

(Co-Founder & CEO)

Prior to co-founding Kalepa in 2018, Paul worked in Strategy and Measurement at Facebook and served as the VP at Applied Predictive Technologies.

Daniel Hillman

(Co-Founder & COO)

Previously a VP of Sales at Mastercard and Applied PRedictive Technologies.

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