Job description
This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.
Senior Engineer – GenAI & ML Evaluation Frameworks
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, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
The kind of problems you’ll be tackling:
- 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 we’re looking for:
- 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.
General qualities we’re seeking:
- 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.
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.
*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 market’s defined pay range & benefits at the beginning of the process.
*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.
About Grafana Labs: 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).
Benefits: For more information about the perks and benefits of working at Grafana, please check out our careers page.
Equal Opportunity Employer: At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways.
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 we’re working hard to make sure that’s the foundation of our organization as we grow.
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