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Europe
Remote only
Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work.
We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time.
Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started.
Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber.
Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees.
Success at Kalepa is bred from five core principles:
In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena).
Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere.
Salary range: $60k – $70k USD*
We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work.
As an engineer at Kalepa, you'll work on real product and R&D systems at the intersection of software engineering and applied AI. You will contribute to backend services, data and ML pipelines that support our product used by commercial insurance underwriters.
You'll help 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 features end to end.
You'll collaborate closely with experienced full-stack, backend, ML, and platform engineers, and you'll be expected to contribute to 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.
You'll Be a Good Fit If You:
What We Offer:
*The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.
