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Grafana LabsSenior AI Engineer - Grafana AI/ML | USA | Remote
Grafana Labs is seeking a Senior AI Engineer to join its Grafana AI/ML team. Operating as a fully remote company with workers distributed across over forty…
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About This Role
Grafana Labs is seeking a Senior AI Engineer to join its Grafana AI/ML team. Operating as a fully remote company with workers distributed across over forty countries, Grafana Labs develops an observability platform utilized by organizations worldwide. This position targets applicants located within Canada time zones. The role involves building and deploying artificial intelligence solutions designed to help users detect, investigate, and resolve system incidents using telemetry data. The engineer…
Job Description
Grafana Labs is seeking a Senior AI Engineer to join its Grafana AI/ML team. Operating as a fully remote company with workers distributed across over forty countries, Grafana Labs develops an observability platform utilized by organizations worldwide. This position targets applicants located within Canada time zones.
The role involves building and deploying artificial intelligence solutions designed to help users detect, investigate, and resolve system incidents using telemetry data. The engineer will engage in rapid prototyping, testing, and shipping of large language model and agent-backed workflows for incident management. Working alongside product managers, designers, and data analysts, the candidate will integrate agentic components into developer workflows, internal tools, and alerting platforms.
Ideal candidates possess strong software engineering capabilities, practical AI experience, and a willingness to iterate quickly while maintaining production standards. The position requires self-direction, effective communication skills, and the capacity to navigate ambiguity within a collaborative, autonomous environment.
Responsibilities
- Develop and deliver high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools
- Implement iterative workflows by rapidly prototyping, testing, and validating LLM- and agent-powered solutions with real users
- Collaborate cross-functionally 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
- Utilize automation and AI tools to improve product functionality and personal development workflows
- Take full ownership of created AI solutions to ensure they remain scalable, maintainable, and aligned with user workflows
Requirements
- Experience with large language models, prompt engineering, and building applications powered by generative AI
- Proven track record of delivering production software utilized by active users
- Exposure to cloud-native environments such as AWS, GCP, or Azure
- Experience using observability tools to analyze and troubleshoot system behavior
- Strong engineering skills in backend or full-stack software development
Qualifications
- Experience building or working with agent frameworks or multi-agent workflows
- Experience with infrastructure and DevOps tooling including Kubernetes, Docker, or Terraform
- Familiarity with model fine-tuning techniques
- Prior experience building observability tooling
Core Skills
Benefits
- Base compensation range of CAD 129,392 to CAD 217,128 per year
- Restricted Stock Units providing ownership in company success
- Global annual leave policy of 30 days per annum, including 3 reserved Grafana Shutdown Days
- Company-funded usage budget for modern AI coding assistants
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Grafana Labs operates as a 100% remote company. However, this specific opportunity is open only to applicants located in Canada time zones.
What is the salary for the Senior AI Engineer role?
The base compensation range for applicants in Canada is CAD 129,392 to CAD 217,128 per year, with actual pay determined by level, experience, and skillset. The role also includes Restricted Stock Units.
What are the primary technical requirements?
Candidates must have experience with large language models, prompt engineering, and generative AI applications. They also need a proven track record of shipping production software, exposure to cloud-native environments like AWS, GCP, or Azure, and experience using observability tools.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.