Staff AI Engineer - 2nd Horizon

The Opportunity

Grafana Labs is building observability tools that help users understand and improve their systems at any scale. We are launching a skunkworks initiative to bring observability principles to general data analytics, making Grafana the premier destination for humans and AI agents to act on enterprise data.

As a Staff AI Engineer on the 2nd Horizon (2H) team, you will operate with high autonomy, designing and shipping AI-powered features that simplify complex data analysis. You will work in a fast-paced, experimental environment, wearing multiple hats to build, test, and scale impactful solutions.

What You’ll Be Doing

• Build AI Solutions: Develop high-performance AI features to help users discover, organize, and optimize access to large datasets.
• Rapid Experimentation: Prototype, test, and validate LLM- and agent-powered workflows for the data engineering lifecycle.
• Collaborate: Integrate agentic components with internal tools (e.g., Slack, alerting) and partner with data teams for dogfooding.
• Drive Impact: Take full ownership of your solutions, ensuring they are scalable, maintainable, and aligned with real user workflows.
• Leverage AI: Utilize AI and automation tools to enhance both product functionality and your own development workflows.

What Makes You a Great Fit

• Engineering Excellence: Solid experience building production-grade, user-facing software systems with minimal supervision.
• Practical AI Mindset: Familiarity with AI frameworks and a focus on delivering real-world, high-quality solutions.
• Iterative Approach: Comfortable releasing prototypes, collecting feedback, and iterating pragmatically.
• Initiative: Ability to navigate ambiguity and define scope in loosely defined projects.

Requirements

• Experience with LLMs, context engineering, and building GenAI-powered applications.
• Proven track record of delivering production-ready software.
• Experience working in cloud-native environments (AWS, GCP, or Azure).
• Proficiency with observability tools for troubleshooting system behavior.

Bonus Points

• Experience with agent frameworks or multi-agent workflows.
• Background as a data analyst or experience with data platforms (Looker, Tableau, Snowflake, DataBricks).
• Experience building tools for data engineering.