DevOps Engineer (AI / Productivity)

A SaaS platform provider transforming the insurance industry with hx Renew, enabling insurers to build complex mathematical models for smarter pricing decisions.
DevOps
Mid-Level Software Engineer
In-Person
AI · Enterprise SaaS · Insurance

Description For DevOps Engineer (AI / Productivity)

hyperexponential (hx) is revolutionizing the insurance industry through their innovative SaaS platform, hx Renew. This platform enables insurers to develop and iterate complex mathematical pricing models using Python and React in a modern software environment. The company has gained the trust of major insurers like Aviva and Top 5 US insurers, as well as innovative companies like Convex and Inigo.

The DevOps Engineer (AI / Productivity) role is a new position within the Engineering Velocity team, focused on AI enablement. The mission is to enhance developer productivity and efficiency through AI integration. The team has already implemented tools like Codeium and Windsurf IDE, and is exploring AI-powered code review solutions.

As the DevOps Engineer, you'll be at the forefront of applying AI to improve developer experience through automation, smart tooling, and workflow optimization. You'll lead initiatives that go beyond off-the-shelf solutions, driving the integration of AI into engineering processes. The role requires a strong technical foundation in DevOps practices, cloud technologies, and AI/ML, combined with excellent communication skills and leadership abilities.

The position offers the opportunity to shape the future of AI adoption within the technology department, working with some of the brightest minds in the industry. You'll be responsible for making AI accessible to team members, fostering a culture of learning, and driving impactful results that align with business goals.

The interview process includes an initial chat with the Talent team, a manager interview, technical assessment, and values interview. The company conducts background checks as part of their governance policies and ensures compliance with data protection regulations.

Last updated a day ago

Responsibilities For DevOps Engineer (AI / Productivity)

  • Lead AI-driven initiatives to improve engineering workflows
  • Shape AI adoption and define approach to incorporating AI into engineering workflows
  • Collaborate and share knowledge about AI tools and techniques
  • Build internal tooling and platforms to support engineering teams
  • Implement AI-powered solutions for developer productivity
  • Lead projects from inception to delivery

Requirements For DevOps Engineer (AI / Productivity)

Python
Kubernetes
React
  • Proven experience building internal tooling and platforms
  • Hands-on experience with LLMs and AI technologies
  • Strong experience in DevOps practices with AWS, Terraform, GitLab, and Docker
  • Strong Python programming skills including AI/ML libraries
  • Experience with PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow
  • Product mindset and ability to design solutions aligned with developer needs
  • Leadership experience and project ownership
  • Excellent communication and collaboration skills

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