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Engineering at hyperexponential
At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions—whether it’s calculating the cost to insure a global superstar’s concert tour or protecting entire states from natural disasters.
With hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. What once took months now takes weeks—or even days. In just five years, our winning formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team—made up of some of the brightest (and kindest!) minds in the industry—pushes technological boundaries every day through creative innovation and regular hackathons.
Were expanding our Engineering Velocity team with a brand new role focused on AI enablement. Our mission is simple: empower engineers to deliver better, faster, and safer.
Over the past months, we’ve been exploring how AI can improve developer workflows. But we know there’s more we can do—and that’s where your expertise and enthusiasm come into play.
We’re looking for someone excited about applying AI to improve the developer experience—whether through automation, smarter tooling, or rethinking how engineers work. You’ll help us go beyond off-the-shelf tools and lead new initiatives that accelerate how engineers build, ship, and operate software at hx.
Lead AI-driven initiatives: Identify opportunities to apply AI in meaningful ways that improve how engineers work, automating repetitive tasks, accelerating decision-making, and improving productivity.
Shape AI adoption at hx: As the person leading this effort, you’ll define the approach to incorporating AI into engineering workflows, helping us discover and implement the best AI tools and techniques that will drive real impact.
Make AI accessible to your teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You’ll tackle challenges and find creative solutions that shape the direction of AI within the technology department.
Proven experience building internal tooling and platforms to support engineering teams
Experience with AI technologies: Hands-on experience working with LLMs or related AI technologies, with a practical understanding of how to apply them effectively to real-world developer workflows.
Solid technical foundation: Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker).
Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions.
Experience taking ownership of projects, leading initiatives from inception to delivery, and driving impactful results that align with team and business goals.
Ability to clearly explain complex technical concepts to both technical and non-technical stakeholders, empowering teammates to get involved and contribute to AI-driven initiatives.
Initial chat with our Talent team to kick things off
Technical Assessment (120 minutes)