Staff AI Engineer (2nd Horizon)

Join Grafana Labs as a Staff AI Engineer, where you'll design, develop, test, and ship AI-powered features that enhance user experience and optimize access to large datasets. You'll work in a dynamic, collaborative environment, taking full ownership of the AI solutions you develop. Enjoy a range of benefits, including 30 days of paid vacation, healthcare coverage, retirement planning, and professional development opportunities.

• Design, develop, test, and ship AI-powered features that manage large datasets and enhance analytics-focused AI agents.
• Take ownership of developing high-performance AI features to help users discover, organize, and optimize access to large datasets.
• Implement a highly iterative process for rapid experimentation and iteration, quickly prototyping, testing, and validating with real users.
• You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining 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
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)
• Proven track record of delivering software that made it into production and is actively used by users
• Experience with LLMs, context engineering, and building applications powered by GenAI
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined
• Experience using observability tools to understand and troubleshoot system behavior
• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory
• Experience building tools for data engineering
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building or working with agent frameworks or multi‑agent workflows