Senior AI Engineer - Grafana Ops, AI/ML

Grafana Labs, the company behind the open observability cloud. The Grafana AI teams help users make sense of complex observability data through AI-driven features that reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

The Opportunity: We're looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation, balanced by a focus on shipping and scaling impactful features that deliver value to users. You'll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response.

What You'll Be Doing:

• 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 and take full ownership of the AI solutions you develop, ensuring they are 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.

Bonus Points For:

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

Engineers have access to frontier models including GPT-4, Claude Opus, and Gemini, with company-funded AI coding assistant budgets. Grafana is a 100% remote company. All roles include Restricted Stock Units (RSUs). Compensation: USD $127,651 - $203,867 base. Benefits include 30 days annual leave plus 3 shutdown days and in-person onboarding.