Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. 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. 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. 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. We learn from mistakes so our good decisions outweigh our bad ones and their benefits compound over time. Pursuit of the Truth
- We seek the truth, even when it is uncomfortable. We question assumptions, give candid feedback, and change our minds when evidence warrants it. 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 | 2026
- Tbilisi). 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. Have approximately 1 year of professional software engineering experience building and shipping production systems Have strong fundamentals in at least one programming language and know Python Have a degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience Are curious about AI, data, and real-world applications of machine learning Competitive salary based on experience level
* ~ Direct work on core systems at a fast-growing AI startup, with a steep learning curve ~ Fully remote work from Europe ~ Onsite team events in Warsaw and general team offsites ~

📌 Junior Remote Backend Developer (España)
🏢 Kalepa
📍 España