Staff AI Engineer - Grafana AI/ML

Details

Responsibilities

• Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
• Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks.
• Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows.
• Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
• Effective communication: Contribute effectively in a highly dynamic and collaborative environment.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Requirements

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

Bonus Points For

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
• Familiarity with model fine-tuning techniques.
• Experience building observability tooling.

Compensation & Rewards

In the United States, the Base compensation range for this role is USD 174,986 - USD 220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here: https://grafana.com/about/careers/#jobs.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.

Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Additional Information

• This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.
• We are a 100% remote company with a global culture.

Why You’ll Thrive at Grafana Labs

• 100% Remote, Global Culture
• Scaling Organization
• Transparent Communication
• Innovation-Driven
• Open Source Roots
• Empowered Teams
• Career Growth Pathways
• Approachable Leadership
• Passionate People
• In-Person onboarding
• Balance is Key (global annual leave policy of 30 days per annum; 3 days reserved for Grafana Shutdown Days)

Equal Opportunity Employer

Grafana Labs is an equal opportunities employer.