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As a Senior Full Stack Engineer at Kalepa, you will tackle challenging problems related to NLP, data pipelines, and machine learning. You'll work on innovative tech within a collaborative environment that values experimentation and results, contributing significantly to the development of their AI Copilot platform.

The Senior Associate will work within Kalepa's Growth team to ensure high client satisfaction and success using the Copilot SaaS platform, collaborating between clients and the development team. This role requires taking ownership of client success functions and involves dealing with large insurance carriers and MGAs.

As a Senior Backend Engineer at Kalepa, you will tackle challenging problems involving large data pipelines and machine learning. You'll collaborate with a global team and work on cutting-edge technology to enhance the AI Copilot platform for underwriters, contributing to impactful solutions in the commercial insurance sector.

As a Senior Full Stack Engineer, you will tackle challenging problems with cutting-edge technology, including NLP and machine learning. Your work will impact large data pipelines, distributed systems, and robust infrastructure while collaborating with a global team.

The Sales Executive will spearhead commercial growth for Kalepa, securing new relationships with US insurers. Responsibilities include owning the sales lifecycle, initiating contact with decision-makers, demonstrating product value, and negotiating agreements to land and grow client accounts.

As a Senior Backend Engineer at Kalepa, you will tackle challenging problems in a greenfield environment, focusing on large data pipelines, distributed systems, and machine learning models. Collaboration with a global team of engineers is key as you aim to enhance the AI Copilot platform that supports insurance underwriters in making better decisions.

As a Senior Full Stack Engineer at Kalepa, you will engage in developing innovative solutions for commercial insurance using advanced AI technology. Your role will involve tackling complex issues related to data pipelines and machine learning while collaborating closely with a global engineering team.