About the Job
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 tr...
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 c...
Key Responsibilities
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.
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
