Senior AI Engineer – Grafana AI/ML

🕒 July 27

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Grafana Labs

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.

📋 Description

• Develop and deliver high-performance AI features that help users detect, triage, and resolve incidents using observability data and tools • Prototype, test, validate, ship, and evolve LLM- or agent-powered workflows for incident lifecycle management and automated analysis • Collaborate with data analysts, product managers, and designers to shape AI-driven product features • Integrate agentic components with internal tools, alerting systems, runbooks, and developer workflows • Use AI and automation tools to improve product functionality and development workflows • Take ownership of AI solutions, ensuring they are innovative, scalable, maintainable, and aligned with real user workflows • Contribute across teams in a dynamic, collaborative environment

🎯 Requirements

• Experience with LLMs, prompt engineering, and building GenAI-powered applications • Proven record of delivering software to production that is actively used by users • Experience with cloud-native environments such as AWS, GCP, or Azure • Experience using observability tools to understand and troubleshoot system behavior • Strong experience building production backend and/or full-stack software systems • Familiarity with AI technologies and frameworks • Comfort with rapid prototyping, user feedback, and iterative experimentation • Experience with agent frameworks or multi-agent workflows is a bonus • Experience with Kubernetes, Docker, Terraform, or similar deployment tooling is a bonus • Familiarity with model fine-tuning techniques is a bonus • Experience building observability tooling is a bonus

🏖️ Benefits

• Restricted Stock Units (RSUs) • Company-funded usage budget for modern AI coding assistants • Access to frontier models from OpenAI, Anthropic, and Google • 100% remote work • Career growth pathways • In-person onboarding • Global annual leave policy of 30 days per annum • 3 annual leave days reserved for Grafana Shutdown Days • Transparent communication and regular company-wide updates • Autonomy and support to ship great work and try new things • Empowered, high-trust culture • Approachable, transparent leadership