Remote AI Engineer, Observability Platform

Grafanalabs

Town of Sweden (NY)

Remote

USD 90,873 - 113,850

Full time

14 days+
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Benefits offered by this job

Equity
Bonus
30 days leave
Remote-friendly onboarding

Job summary

Grafana Labs is hiring for a remote AI-focused role shaping observability tools and data analytics with GenAI capabilities. You’ll develop production-grade AI features, prototype rapidly, and collaborate with data teams to ship useful workflows across the data engineering lifecycle.

The team values autonomy, open collaboration, and ownership of impactful, scalable solutions. The role emphasizes practical AI experience, cloud familiarity (AWS, GCP, Azure), and delivering real-world results while

Qualifications

  • Experience with LLMs, context engineering, and building GenAI-powered applications.
  • Proven ability to ship production software used by real users.
  • Experience in cloud-native environments (AWS, GCP, Azure).
  • Familiarity with observability tools to diagnose and improve system behavior.

Responsibilities

  • Build and deliver AI features to help users access large datasets quickly and reliably.
  • Prototype and test rapidly, shipping agent-powered workflows for data engineering lifecycles.
  • Collaborate with cross-functional teams to integrate AI-driven features and internal tools like Slack.
  • Use AI tools to improve product functionality and development workflows.
  • Communicate effectively in a dynamic, collaborative environment across teams.
  • Take ownership of AI solutions, ensuring scalability and alignment with user needs.

Skills

LLMs
Context engineering
GenAI applications
Production-grade software
Autonomy

Tools

Cloud platforms AWS GCP Azure
Observability tools
Slack integration

Job description

Grafana Labs is hiring for a remote AI-focused role shaping observability tools and data analytics with GenAI capabilities. You’ll develop production-grade AI features, prototype rapidly, and collaborate with data teams to ship useful workflows across the data engineering lifecycle.

The team values autonomy, open collaboration, and ownership of impactful, scalable solutions. The role emphasizes practical AI experience, cloud familiarity (AWS, GCP, Azure), and delivering real-world results while

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