About the job
Join hyperexponential as an AI Engineer - Platform
At hyperexponential, we're at the forefront of developing an AI-driven platform that empowers vital decision-making in a $7 trillion industry, guiding critical choices about risks and pricing strategies. Our innovative decisions influence significant outcomes: from successful space rocket launches to the rollout of autonomous vehicles and community recovery post-natural disasters.
Historically, the insurance sector has relied on outdated tools to make billion-dollar decisions. We're revolutionizing this landscape. Our platform seamlessly integrates data, AI, and human expertise, streamlining the insurer's journey from submission to decision, enabling faster actions and bolder risk management.
Supported by esteemed investors like a16z, Highland Europe, and Battery Ventures, we are expanding our reach globally. Nearly 50 of the world’s largest insurers trust us, enjoying zero churn and processing billions in premiums through our platform.
What started as a single product has rapidly evolved into a multi-product, multi-territory powerhouse that enhances every aspect of pricing and underwriting in insurance. AI is central to our operations, from creating the first domain-specific AI peer programmer for insurance to reinventing workflows that transform industry practices.
At hx, the difference lies in our people. Here, your impact is not constrained by titles or tenure; it is defined by the challenges you embrace and the discipline you exhibit. Surrounded by inspiring peers, you'll engage in some of the most impactful work of your career within a resilient organization.
If this resonates with you, we invite you to help us shape the future.
About the hxAI Team
AI is integral to our software development and decision-making processes. From advanced document intelligence to a specialized AI peer-programmer for actuaries and underwriters, hx is setting new standards for generative AI in the insurance sector.
The AI Platform team is essential to this mission, as we design and operate the systems that facilitate safe, scalable AI training, deployment, evaluation, and monitoring. This includes model serving, data pipelines, observability, deployment automation, and compute orchestration.
Collaborating closely with product and research teams, we convert rapid experimentation into robust, cost-effective, and developer-friendly production systems. Our success is reflected in quicker releases, improved model performance in real-world applications, and AI offerings that clients can rely on for critical decisions.
