Senior AI Engineer - Grafana AI/ML

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams unified visibility so they can see, understand, and act on all their disparate data.

We’re looking for a Senior AI Engineer to join our Grafana AI teams. You will play a key role in helping users make sense of complex observability data through AI-driven features that reduce toil, lower barriers of domain expertise, and surface meaningful signals from noisy environments.

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: Use AI and automation tools to enhance both product functionality and your own development workflows.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are scalable, maintainable, and aligned with real user workflows.

What Makes You a Great Fit

• Strong engineering skills with solid experience building production software systems (backend and / or full stack).
• Practical AI experience, familiar with AI technologies and frameworks, focusing on real-world delivery.
• Comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative to take ownership and drive projects forward through ambiguity.
• Collaborative attitude with effective communication skills for peers, product managers, and designers.

Requirements

• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering production software 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 tooling: Kubernetes, Docker, Terraform or similar for deployments.
• Familiarity with model fine-tuning techniques.
• Experience building observability tooling.