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AI Engineer, Infrastructure

Redpine· Tech
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Redpine HQ, central StockholmFull-timePosted 1mo ago

About the role

AI Engineer in Cloud Infrastructure responsible for designing and owning the foundation of Redpine's AI data platform, focusing on data access, compliance, and real-time retrieval.

Responsibilities

  • Design and build the infrastructure powering our data platform and APIs.
  • Work on systems that serve high-quality data to AI models and agents in real time.
  • Develop abstractions that make complex data access simple for developers.
  • Build for a new category of workloads, where retrieval, latency, and data quality matter as much as compute.
  • Make architectural decisions that will define how the platform scales globally.
  • Take ownership of reliability and performance as the system evolves.

Qualifications

  • Production experience building data infrastructure: vector database, object storage at scale, streaming/ingestion, data transfer infrastructure and pipelines.
  • A strong understanding of cloud platforms and modern infra tooling.
  • Deep experience with Kubernetes or similar orchestration systems.
  • A strong interest in working on systems where data, not just compute, is the core constraint.
  • The judgment and ability to operate in an environment where direction evolves quickly and many problems are not yet well-defined.
  • Experience in monitoring, observability, and security is a plus.

Skills

Required:Data infrastructure designCloud platformsKubernetes

Benefits

  • Competitive salary and meaningful equity.
  • Office-first with autonomy for deep-work days and life admin.
  • Relocation support available.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Redpine

The Knowledge Layer for Agentic AI

Redpine powers AI builders and autonomous agents with access to licensed, high-quality and multimodal data - securely and at scale.

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