Grafana Labs

Staff AI Engineer - Grafana AI/ML

Canada (Remote) · Staff+

Sponsorship not specifiedDetected 10 hours ago

Full-Stack DevelopmentCode ReviewAWSGCPAzureDockerKubernetesTerraformGrafanaDevOpsMachine LearningNLPLLMsAgentic AIA/B TestingSalesforceLeadershipCommunicationCollaboration

About the role

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.
As the team matures, there's a broad opportunity to expand or redefine this role based on impact and initiative.

Responsibilities

Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
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 incident lifecycle management and automated analysis tasks.
Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows.
Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You're a self-starter, capable of tackling complex engineering problems with minimal supervision.
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 incident lifecycle management and automated analysis tasks.
You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions.
Innovation-Driven - Autonomy and support to ship great work and try new things.

Requirements

Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Experience using observability tools to understand and troubleshoot system behavior.
Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
Familiarity with model fine-tuning techniques.
AI experience with a practical mindset: You're familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You can deal with ambiguity and are able to define scope where things are loosely defined.

Skills

Grafana Cloud, our fully managed observability platform, is flexible and built for scale.
Learn more at grafana.com and follow us on LinkedIn and X.

Compensation

In Canada, the Base compensation range for this role is CAD 186,368 - CAD 230,000.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process.
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.

Benefits

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.

Company info

we operate with a high degree of autonomy and ownership, both as individuals and as a team.
Engineers are empowered to make decisions, move quickly, and validate ideas early - while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We're looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation - balanced by a focus on shipping and scaling impactful features that deliver value to users.
You'll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response.
Career Growth Pathways - Defined opportunities to grow and develop your career.

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. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation 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.
#LI-Remote
Employer: Grafana Labs is an equal opportunities employer.

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This listing is sourced directly from Grafana Labs's careers page and normalized into a canonical job model.