AI Engineer - Platform/MLOps

hyperexponential(25 days ago)

HybridFull TimeSenior$167,017 - $223,445 (estimated)Technology

About this role

An AI Engineer - Platform/MLOps at Hyperexponential is responsible for designing and operating scalable AI infrastructure, focusing on large language model (LLM) inference, prompt management, and evaluation pipelines to support efficient and reliable AI applications in the insurance sector. The role involves building self-service tools and APIs to accelerate product team development, implementing observability measures for production AI/ML workloads, and driving the adoption of shared platform services to enhance collaboration across teams. The engineer ensures cost-effective solutions and optimal model performance while prioritizing developer experience through documentation and support.

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Required Skills

AI Infrastructure
Large-Scale Document Intelligence
Model Serving
Data Pipelines
Observability
Deployment Automation
Compute Orchestration
Self-Service Tools
API Development
Standardized Logging

+17 more

About hyperexponential

hyperexponential.com

Hyperexponential is a pioneering technology firm providing cutting-edge pricing decision intelligence solutions specifically developed for the insurance industry. Their platform, hx Renew, leverages AI, automation, and advanced analytics to empower commercial insurers to optimize underwriting processes, significantly reduce decision times, and improve profitability. With a robust customer base that includes over 40 enterprise clients and more than $50 billion in gross written premiums processed annually, Hyperexponential is transforming how insurers manage risks and pricing strategies.