About Kalepa:

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 Meta, Palantir, Block, Affirm, Google, Amazon, McKinsey, Mastercard, and Uber.

Our Values (This is important):

Our culture is shaped by everyday decisions. Our values help us make them thoughtfully and consistently, especially when tradeoffs are difficult. We learn from mistakes so our good decisions outweigh our bad ones and their benefits compound over time.

Excellence - We take pride in our craft and expect excellent outcomes in everything we do. We set high standards, verify our work, and own the result. We make deliberate tradeoffs, including rethinking an approach, redoing work, or investing more 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. We work with customers to understand their challenges and what solving them requires.
Ensuring Customer Success - We take responsibility for delivering results that matter to our customers. We measure success through improvements in their growth, profitability, and efficiency. We challenge our approach and customers’ requests when necessary, remaining accountable for the outcome.
First Principles Thinking - We reason from a problem’s underlying facts, objectives, and constraints. We distinguish what is necessary from what is familiar and question assumptions that limit possible solutions. We test our reasoning against reality and address root causes with approaches that scale without unnecessary complexity.

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).

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.

About the role:

Salary range: $80k – $105k USD*

We are looking for smart programmers who love to code, seek challenging problems, and appreciate recognition for excellent work. As a core engineer, your contributions will have a significant impact on our technology and business. You will be working on advanced systems including NLP, firmographic data, entity resolution, and much more.

In this role, you’ll solve interesting problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure. You will collaborate with a global team of full-stack, data, ML, and DevOps engineers, working together to build scalable and reliable backend solutions as we continue to grow.

You'll Be a Good Fit If You:

Have 3+ years of software engineering experience building and shipping production systems
Have experience with a modern frontend framework, preferably React
Know JavaScript and TypeScript, and are comfortable in Python — though we're open to strong candidates from other OO backgrounds
Have strong fundamentals in system design, debugging, and problem solving
Are comfortable with relational databases, ideally PostgreSQL
Have experience with cloud environments, serverless technologies (Lambda, EC2), and asynchronous workflows
Take ownership of your work and drive projects to completion with limited oversight
Communicate proactively, surfacing blockers, asking the right questions, and keeping stakeholders in the loop
Enjoy iterative improvement and care deeply about quality
Are curious about AI, data, and real-world applications of machine learning
Move fast, learn quickly, and value high standards
Appreciate direct feedback, meritocracy, and transparency

What We Offer:

Competitive salary based on experience level*
Significant equity options package
Direct work on core systems at a fast-growing AI startup transforming a $1T global industry
Fully remote work from Europe
Onsite team events in Warsaw and global team offsites
Real responsibility and production impact from day one
20 days of PTO a year
Gym, phone, and learning stipend reimbursement

* 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.

Full Stack Engineer (Europe)

Inizia con la tua email