Staff Software Engineer, Agentic Applications - Grafana Ops, AI/ML | USA | Remote United States (Remote) Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack , both featuring scalable metrics (Grafana Mimir ), logs (Grafana Loki ), and traces (Grafana Tempo ). Were scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and thats okay. If this role excites you, wed love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. We are looking for an experienced engineer with expertise in evaluating Generative AI systems, particularly Large Language Models (LLMs), to help us build and evolve our internal evaluation frameworks, and/or integrate existing best-of-breed tools. This role involves designing and scaling automated evaluation pipelines, integrating them into CI/CD workflows, and defining metrics that reflect both product goals and model behavior. As the team matures, theres a broad opportunity to expand or redefine this role based on impact and initiative. What Youll Be Doing: Design and implement robust evaluation frameworks for GenAI and LLM-based systems, including golden test sets, regression tracking, LLM-as-judge methods, and structured output verification. Develop tooling to enable automated, low-friction evaluation of model outputs, prompts, and agent behaviors. Define and refine metrics for both structure and semantics, ensuring alignment with realistic use cases and operational constraints. Lead the development of dataset management processes and guide teams across Grafana in best practices for GenAI evaluation. What Makes You a Great Fit: Experience designing and implementing evaluation frameworks for AI/ML systems. Familiarity with prompt engineering, structured output evaluation, and context-window management in LLM systems. High autonomy to collaborate and translate team goals into clear, testable criteria supported by effective tooling. Bonus Points For: Experience working in environments with rapid iteration and experimental development. A pragmatic mindset that values reproducibility, developer experience, and thoughtful trade-offs when scaling GenAI systems. A passion for minimizing human toil and building AI systems that actively support engineers. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 148,505 - USD 178,206 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomesRSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific markets defined pay range & benefits at the beginning of the process. Why Youll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication Expect open decision-making and regular company-wide updates. Innovation-Driven Autonomy and support to ship great work and try new things. Open Source Roots Built on community-driven values that shape how we work. Empowered Teams High trust, low ego culture that values outcomes over optics. Career Growth Pathways Defined opportunities to grow and develop your career. Approachable Leadership Transparent execs who are involved, visible, and human. Passionate People Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new Grafanistas to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and were working hard to make sure thats the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. For information about how your personal data is used once youve applied to a job, check out our privacy policy . Create a Job Alert Interested in building your career at Grafana Labs? Get future opportunities sent straight to your email. Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile * Share a link to your LI profile. Current company (if applicable) Are you based and plan to work from the US? * Select... Please share any public artifacts (code, docs, write-ups, blog posts or even social media discussions) that demonstrate your practical experience with LLMs, evaluation pipelines, or GenAI tooling. If your work is not public, a brief written summary of a key project and your role is welcome. Are you currently eligible to work in your country of residence? * Select... Do you now or in the future require visa sponsorship to continue working in your country of residence? * Select... Were you referred to this role by a Grafanista? If so, let us know their name! 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