Added
6 days ago
Type
Full time
Salary
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Related skills

docker terraform aws python kubernetes

šŸ“‹ Description

  • Own and extend existing AI platforms and tooling, improving reliability, expanding capabilities
  • Architect and build internal API layers and shared services that allow AI workflows and internal
  • Identify and build AI-powered tooling that creates leverage across the Corporate IT Engineering
  • Develop and iterate on proof-of-concepts that demonstrate how AI can augment or automate internal
  • Containerize and orchestrate AI workloads using Docker and Kubernetes, ensuring reliable and
  • Automate infrastructure provisioning and configuration using Terraform and Ansible, following

šŸŽÆ Requirements

  • Hands-on experience owning or extending LLM-powered platforms, including RAG pipeline development
  • Expert-level knowledge of AI infrastructure, including model serving, inference optimization
  • Experience designing and building internal API layers or shared platform services that multiple
  • Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight
  • Experience working with REST APIs and building integrations across a diverse internal tooling
  • Strong AWS experience: required proficiency in core services (EC2, ECS/EKS, S3, RDS, Lambda, IAM

šŸŽ Benefits

  • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low
  • All new hires receive four weeks of PTO.
  • PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and
  • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
  • ā€œMahalo momentsā€ program grants additional time off for life’s most important moments like
  • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

🚚 Relocation support

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