AI Enablement Engineer (Engineering Velocity)

A company transforming the insurance industry with their SaaS platform 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 Enablement Engineer (Engineering Velocity)

hyperexponential (hx) is revolutionizing the insurance industry through their innovative 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 Top 5 US insurers, as well as innovative companies like Convex and Inigo.

As the AI Enablement Engineer in the Engineering Velocity team, you'll play a crucial role in empowering engineers to deliver better, faster, and safer solutions. The company has already begun exploring AI integration through tools like Codeium and Windsurf IDE, and is evaluating AI-powered solutions for code reviews. This role presents an exciting opportunity to shape how AI can enhance developer experiences and workflows.

You'll be responsible for identifying and implementing AI-driven initiatives that improve engineering productivity, leading the company's AI adoption strategy in engineering workflows, and fostering a culture of AI learning and innovation. The role requires a unique blend of technical expertise in AI/ML technologies, strong Python programming skills, and DevOps experience, combined with leadership abilities and excellent communication skills.

The position offers the chance to work with cutting-edge AI technologies while making a tangible impact on developer productivity and efficiency. You'll be joining a team of bright and collaborative minds who push technological boundaries through creative innovation and regular hackathons. The role is perfect for someone passionate about applying AI to real-world engineering challenges and excited about leading transformative initiatives in a rapidly growing company.

Last updated 5 days ago

Responsibilities For AI Enablement 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
  • Drive AI-related projects from inception to delivery

Requirements For AI Enablement 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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