Staff AI Engineer – Grafana AI/ML

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $175k - $220k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Grafana Labs

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.

📋 Description

• 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: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. • 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.

🎯 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.

🏖️ Benefits

• All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. • We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. • Transparent Communication – Expect open decision-making and regular company-wide updates. • Innovation-Driven – Autonomy and support to ship great work and try new things. • Open Source Roots – Built on community-driven values that shape how we work. • Empowered Teams – High trust, low ego culture that values outcomes over optics. • Career Growth Pathways – Defined opportunities to grow and develop your career. • Approachable Leadership – Transparent execs who are involved, visible, and human. • Passionate People – Join a team of smart, supportive folks who care deeply about what they do. • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. • Flexible work arrangements