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As a Senior Full Stack Engineer, you will work on a greenfield project, solving complex problems involving data pipelines, distributed systems, and machine learning. You'll collaborate with a team of engineers to enhance the Copilot platform used by underwriters in the commercial insurance industry.

As a Senior Full Stack Engineer at Kalepa, you will develop on a cutting-edge AI Copilot platform, focusing on large data pipelines, distributed systems, and machine learning models. You will collaborate with a diverse team to solve complex technical challenges and deliver impactful solutions in commercial insurance.

The Sales Executive will lead Kalepa's commercial growth by developing relationships with major US insurers. Responsibilities include managing the sales lifecycle, initiating contact with decision-makers, demonstrating product value, and negotiating agreements to secure new business.

The Senior Associate for Growth at Kalepa is responsible for client success by bridging communication between clients and the development team, ensuring value delivery through their SaaS platform. This role involves ownership of the client success function and requires strong client-facing skills.

As a Senior Backend Engineer, you will tackle complex challenges involving large data pipelines, distributed systems, and machine learning. You will have a significant impact by developing solutions in a greenfield project while collaborating with an international team of engineers.

The Senior Associate for Growth at Kalepa will manage client relationships and drive client success for their AI-powered SaaS platform, collaborating closely with the development team. The role involves boosting client engagement and satisfaction with the platform, contributing to client growth and retention while working with major insurance carriers.

As a Senior Full Stack Engineer, you will tackle challenging problems in a greenfield environment, working with cutting-edge technology like NLP and machine learning. Your contributions will significantly impact data pipelines and distributed systems while collaborating with a diverse engineering team.