Remote AI Engineer for Observability & Data

United States Digital Space LLC

United States

Remote

USD 135,000 - 168,000

Full time

7 days ago
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Benefits offered by this job

Equity
Bonus

Job summary

Grafana Labs is seeking an AI Software Engineer for a remote role to build AI-powered features that help users manage vast datasets. The role emphasizes experimentation, rapid iteration, and ownership of AI components within a skunkworks initiative.

You’ll work across data analytics use cases, with autonomy and a strong collaborative culture. The ideal candidate has hands-on experience with LLMs and GenAI, cloud-native practices, and a passion for scalable, production-ready AI solutions that

Qualifications

  • Experience with LLMs, context engineering, and GenAI.
  • Proven track record delivering production-grade software.
  • Experience in cloud-native environments (AWS, GCP, Azure).
  • Familiarity with observability tools to troubleshoot systems.

Responsibilities

  • Build and deliver AI features to help users discover, organize, and optimize access to large datasets.
  • Prototype rapidly, test with real users, and ship data-driven workflows.
  • Collaborate with cross-functional teams to shape AI-driven product features and internal tool integrations.
  • Leverage AI tools to enhance product functionality and development workflows.
  • Communicate effectively in a dynamic, collaborative environment and own the AI solutions end-to-end.

Skills

LLMs & GenAI
Cloud-native environments
Observability tools
Production software

Tools

Looker
Tableau
PowerBI
Snowflake

Job description

Grafana Labs is seeking an AI Software Engineer for a remote role to build AI-powered features that help users manage vast datasets. The role emphasizes experimentation, rapid iteration, and ownership of AI components within a skunkworks initiative.

You’ll work across data analytics use cases, with autonomy and a strong collaborative culture. The ideal candidate has hands-on experience with LLMs and GenAI, cloud-native practices, and a passion for scalable, production-ready AI solutions that

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