Remote Senior Full-Stack Engineer — AI Analytics

Grafana

United States

Remote

USD 116,000 - 140,000

Full time

4 days ago
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Benefits offered by this job

RSUs
30 days annual leave
Remote work worldwide

Job summary

Grafana Labs is seeking a Senior Fullstack Engineer to join Grafana Analytics, a remote-first team building AI-powered features for data analytics across the enterprise. You will ship scalable UI and backend capabilities, experiment rapidly, and collaborate with product, data, and platform teams to connect large datasets with AI agents.

You should have production-grade software experience, familiarity with LLMs and GenAI, and be comfortable working across cloud-native environments.

Qualifications

  • Track record of building production-grade, user-facing software.
  • Experience with LLMs, context engineering, and GenAI.
  • Exposure to cloud-native environments (AWS/GCP/Azure).
  • Ability to ship features with rapid iteration and validation.
  • Strong collaboration across product, data, and engineering teams.

Responsibilities

  • Build and deliver full-stack user experiences with AI features for data access.
  • Prototype, test, and validate workflows with real users and data.
  • Collaborate on AI-driven product features and internal tool integrations.
  • Utilize AI tools to enhance product functionality and developer workflows.
  • Communicate effectively in a dynamic, cross-functional environment.
  • Own AI solutions from conception to scalable deployment.

Skills

Software engineering
GenAI
Cloud experience
Rapid iteration
Cross-functional
UI design

Tools

AWS
GCP
Azure
Slack
Looker
PowerBI

Job description

Grafana Labs is seeking a Senior Fullstack Engineer to join Grafana Analytics, a remote-first team building AI-powered features for data analytics across the enterprise. You will ship scalable UI and backend capabilities, experiment rapidly, and collaborate with product, data, and platform teams to connect large datasets with AI agents.

You should have production-grade software experience, familiarity with LLMs and GenAI, and be comfortable working across cloud-native environments.

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