Staff AI Engineer (2nd Horizon)

• As part of our skunkworks initiative, you’ll wear multiple hats and won’t rely on cross-functional teams that typically support other teams inside Grafana Labs engineering
• You will design, develop, test, and ship AI-powered features that can manage dealing with large datasets, while also expanding the capabilities of analytics-focused AI agents to assist users with information retrieval
• As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative
• Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets
• 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 the data engineering lifecycle
• Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding
• 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

Benefits

• Vacation: Balance is key. Our team enjoys 30 days of paid vacation each year on top of national holidays, parental leave, and sick leave. We also take a breather on a number of Grafana Shutdown Days each year
• Healthcare: We’re proud to provide health coverage or stipends for our colleagues in the US, UK, Canada, the Netherlands, Sweden, Singapore, and India
• Retirement planning: There’s no time like the present to start saving for your future. We make employer contributions into the pension pots of our team members in the US, UK, Canada, the Netherlands, Sweden, and Germany
• Professional development: On top of a $1,500 annual learning and development stipend, Grafanistas have thousands of on-demand courses at their fingertips to help them grow professionally. Want to attend a conference or training? Go ahead. Just pass on what you learned
• Work location: Vast majority of our roles are fully remote, focused on hiring the best talent and allowing you to perform from the comfort of your home. If you fancy a change of scene, we’ll also reimburse you up to $175 a month for a personal co-working space
• Choice of tech: There’s no one-size-fits-all when it comes to the tech required to do your job. Choose the laptop and accessories you need when you join us, and we’ll refresh them every three years
• Mindfulness: When you join the team, you can sign up for a complimentary subscription to Headspace to take advantage of the benefits of mindfulness and meditation. Our wellbeing resource group also organize sessions run by fellow Grafanistas or external trainers
• Global Employee Assistance Program: We offer all team members a 100% confidential support service with 24/7 365 access to professionally qualified counsellors and specialists
• Paid parental leave: Grafana offers paid parental leave to all eligible new parents. This offers Grafanistas time to bond with and care for their children in the first year after birth or adoption- 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
• 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
• Experience with LLMs, context engineering, and building applications powered by GenAI
• 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
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table
• Proven track record of delivering software that made it into production and is actively used by users
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset
• Experience using observability tools to understand and troubleshoot system behavior
• 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 building or working with agent frameworks or multi‑agent workflows
• Experience building tools for data engineering
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)