AI Systems Engineer (Engineering Velocity)

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

Description For AI Systems Engineer (Engineering Velocity)

hyperexponential (hx) is revolutionizing the insurance industry with their SaaS platform, hx Renew. This platform enables insurers to develop and iterate complex pricing models using Python and React in a modern software environment. The company has gained the trust of major insurers like Aviva and innovative players like Convex and Inigo in just five years.

As the AI Systems Engineer in the Engineering Velocity team, you'll be at the forefront of AI enablement initiatives. The role focuses on empowering engineers to deliver better, faster, and safer solutions. The team has already integrated tools like Codeium and Windsurf IDE and is exploring AI-powered code review solutions. This position offers an opportunity to go beyond off-the-shelf tools and lead new initiatives that accelerate software development at hx.

The ideal candidate will combine strong technical expertise in Python, AI/ML technologies, and DevOps practices with leadership abilities. You'll be responsible for identifying and implementing AI-driven solutions that improve developer workflows, leading initiatives from conception to delivery, and fostering a culture of learning and innovation. The role requires both technical depth in AI technologies (including LLMs, PyTorch, and TensorFlow) and the ability to think strategically about how these tools can transform engineering processes.

Working at hx means joining a team of bright and kind minds who push technological boundaries through creative innovation. The company offers a structured interview process and values technical excellence, collaboration, and innovation. This role presents a unique opportunity to shape the future of AI adoption in a rapidly growing company that's already making waves in the insurance industry.

Last updated 2 days ago

Responsibilities For AI Systems Engineer (Engineering Velocity)

  • Lead AI-driven initiatives to improve engineer workflows and productivity
  • Define and shape AI adoption approach in engineering workflows
  • Share knowledge and make AI accessible to teammates
  • Identify and implement AI tools and techniques
  • Lead projects from inception to delivery
  • Collaborate with teams to implement AI-driven solutions

Requirements For AI Systems Engineer (Engineering Velocity)

Python
React
  • Proven experience building internal tooling and platforms
  • Hands-on experience with LLMs and AI technologies
  • Strong DevOps experience with AWS, Terraform, GitLab, and Docker
  • Strong Python programming skills with AI/ML libraries
  • Experience with PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow
  • Product mindset and user-focused approach
  • Leadership and project ownership experience
  • Excellent communication and collaboration skills

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