Remote AI Software Engineer: Build Scalable AI Features

United States Digital Space LLC

United States

Remote

USD 140,000 - 190,000

Full time

7 days ago
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Job summary

Grafana Labs is seeking an AI Software Engineer to build AI-powered features that manage large datasets and expand analytics-driven agents. The role demands a strong software engineering background, rapid iteration, and a passion for experimentation while shipping scalable solutions for users.

The team operates in a highly autonomous, remote environment with cross-functional collaboration, and opportunities to redefine the role based on impact and initiative.

Qualifications

  • Experience with LLMs, context engineering, and building GenAI-powered applications.
  • Proven track record of delivering software that goes into production and is actively used by users.
  • Exposure to working in cloud-native environments (AWS, GCP, Azure).
  • Experience using observability tools to understand and troubleshoot system behavior.

Responsibilities

  • Build and deliver AI solutions: develop high-performance AI features to help users access large datasets.
  • Rapid experimentation and iteration: prototype, test, and validate with real users, shipping LLm/agent workflows.
  • Collaborate: shape AI-driven product features and integrate agentic components with internal tools.
  • Utilize AI tools effectively: enhance product functionality and development workflows.
  • Ownership and impact: ensure solutions are scalable, maintainable, and align with user workflows.

Skills

LLMs experience
Context engineering
GenAI integration
Production-grade software
Cloud-native environments

Tools

AWS
GCP
Azure

Job description

Grafana Labs is seeking an AI Software Engineer to build AI-powered features that manage large datasets and expand analytics-driven agents. The role demands a strong software engineering background, rapid iteration, and a passion for experimentation while shipping scalable solutions for users.

The team operates in a highly autonomous, remote environment with cross-functional collaboration, and opportunities to redefine the role based on impact and initiative.

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