Staff AI Engineer
Grafana Labs- Base salary
- £100k–£124k Published base salary range
- Location
- Remote - UK, Germany, Ireland, Sweden, Spain Remote eligibility
- Employment
- Full-time Staff / Principal
About the job
About Grafana Labs
Grafana Labs is the company behind Grafana Cloud, a fully managed observability platform trusted by more than 10,000 organizations. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, and GIC.
The Opportunity
We recently started a skunkworks initiative with a mission to bring observability to the rest of the business via general data analytics. Our goal is to make Grafana the single best place where humans and AI agents understand and act on data from across the enterprise. The 2H team operates with a high degree of autonomy and ownership.
What You'll Be Doing
- Build and deliver AI solutions: Take ownership of developing 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.
- Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
- Effective communication: Work in a highly dynamic and collaborative environment.
- 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: Solid experience building production-grade, user-facing software systems.
- AI experience with a practical mindset: Familiar with AI technologies and frameworks, focused on delivering high-quality solutions that work in the real world.
- Quick iteration and experimentation: Comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
- Proven initiative: Take ownership and drive projects forward, dealing with ambiguity and defining scope.
- Collaborative attitude: Communicate effectively with peers and bring a solutions-oriented mindset.
Requirements
- Experience with LLMs, context 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 as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks).
- Experience building tools for data engineering.
Compensation & Rewards
In the UK, the base compensation range for this role is £100,000 - £124,000. Benefits include equity, bonus (if applicable) and other benefits listed here.
Why You'll Thrive at Grafana Labs
- 100% Remote, Global Culture
- Scaling Organization
- Transparent Communication
- Innovation-Driven
- Open Source Roots
- Empowered Teams
- Career Growth Pathways
- Approachable Leadership
- Passionate People
- In-Person onboarding
- Balance is Key - We operate a global annual leave policy of 30 days per annum.
Equal Opportunity Employer
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law.
Skills & tags
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