Junior Backend Engineer (Europe)
- Salary
- $60k - $70k
- Level
- Junior
- Work type
- Remote · Europe
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
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.
Kalepa's standard text
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.
Our Values (This is important):
Kalepa's standard text
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:
- Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win.
- Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it.
- Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here.
- Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth.
- Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage.
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 standard text
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:
- 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
- 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 We Offer:
- Competitive salary based on experience level*
- Significant equity options package
- 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 global team offsites
- Real responsibility and production impact from day one
- Mentorship from senior engineers
- 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.
What this role asks for
Particular to this role
Machine Learning
Rare in Kalepa's other 23 open postings.
In most of Kalepa's ads
Python
Named in most of its open postings, whatever the role.
52% of this description is written for the role. The rest is Kalepa's standard text, folded away below.
Read against Kalepa's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 19 open in Engineering. 2 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (19 of 19), PostgreSQL (18 of 19), Serverless (18 of 19), LLM (16 of 19), Generative AI (13 of 19), AWS (4 of 19), JavaScript (4 of 19)
OTHER ROLES ON THIS TEAM
- Forward Deployed Engineer posted Sep 24
- Staff Platform Engineer - Infrastructure posted Sep 3
- Staff Platform Engineer - Infrastructure posted Sep 3
- Senior Full Stack Engineer - Core UX (New York) posted Sep 2
- Staff Backend Engineer - Submission Processing (Europe) posted Jul 10
- Staff Backend Engineer - Submission Processing posted Jul 8
- Staff Backend Engineer - Submission Processing posted Jul 8
- Staff Backend Engineer - Core Product (New York) posted May 13
- Staff Backend Engineer - Core Product (USA) posted May 13
- Staff Backend Engineer - Core Product (Europe) posted May 13
- Senior Platform Engineer - Infrastructure (USA) posted Dec 22
- Senior Full Stack Engineer - Core UX (USA) posted Dec 15
- Senior Full Stack Engineer - Core UX (Europe) posted Dec 15
- Senior Backend Engineer - Client integrations (New York) posted Dec 15
- Senior Backend Engineer - Client integrations (USA) posted Dec 15
- Senior Backend Engineer - Client integrations (Europe) posted Dec 15
- Full Stack Engineer (Europe) posted Feb 21
- Backend Engineer (Europe) posted Feb 21
From the team and dates on Kalepa's own job board.
See Backend Engineer salaries in Remote →
Similar jobs
- Machine Learning Engineer Graduate (Monetization Technology - Ads Core Global) - 2027 Start (PhD) - Graduate (Global Monetization Product and Technology) - 2027 Start (PhD) at TikTok
Shares 2 skills: Machine Learning, Python · Junior level - Entry-Level Robot Learning Engineer at Clera
Shares 2 skills: Machine Learning, Python · Junior level - Software Engineer, C++ - 6 Month Internship Opportunity at Tower Research Capital
Shares 2 skills: Machine Learning, Python - Machine Learning Engineer, Answers Relevance at Reddit
Shares 2 skills: Machine Learning, Python - ML Engineer, Motion Planning at DiDi Labs
Shares 2 skills: Machine Learning, Python - Lead Product Designer (United States or Canada, Remote) at Kalepa
Also at this company
Is this your posting and you want it taken down? Email info@careerholo.com.