Senior AI Engineer - Grafana Ops, AI/ML | Canada | Remote

Reposted 6 Days Ago
Easy Apply
Be an Early Applicant
Hiring Remotely in Canada
Remote
154K-184K Annually
Senior level
Software
Grafana Labs creates leading open-source tools for visualizing operational data, with 1000+ employees in 20+ countries.
The Role
The Senior AI Engineer will develop AI features for observability tools, collaborate with cross-functional teams, and deliver scalable AI solutions.
Summary Generated by Built In

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).

We’re 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 that’s okay. If this role excites you, we’d 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 Canada time zones only at this time.

Senior AI Engineer 

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. 

What makes our team different is how we work: 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. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

  • 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. 
  • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
  • 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. 

What Makes You a Great Fit:

  • 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.
  • 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. 
  • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
  • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. 
  • Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.

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. 
  • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
  • Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points For:

  • Experience building or working with agent frameworks or multi‑agent workflows.
  • Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
  • Familiarity with model fine-tuning techniques.
  • Experience building observability tooling.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 164,490  -  CAD 197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs 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 market’s defined pay range & benefits at the beginning of the process.

Why You’ll 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 we’re working hard to make sure that’s 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.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. 
 

Top Skills

AI
AWS
Azure
Docker
GCP
Genai
Kubernetes
Llms
Terraform
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, New York
1,300 Employees
Year Founded: 2014

What We Do

Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are more than 5,000 Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and more than 20 million users of Grafana around the world. Grafana Labs helps companies manage their observability strategies with the LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise offerings, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security.

Why Work With Us

Clear communication is vital in a remote-first company. We hold weekly team updates, monthly all-hands calls, co-located offsites, and annual events. We've enhanced hiring, onboarding, and training with a learning management tool and quarterly bootcamps. We offer 30 vacation days plus local holidays, with equal benefits for all employees globally.

Gallery

Gallery

Similar Jobs

Zapier Logo Zapier

Sr. Security Partner - GTM

Artificial Intelligence • Productivity • Software • Automation
Remote
2 Locations
800 Employees
170K-256K Annually

Samsara Logo Samsara

Procure to Pay, Sr. Manager

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
Canada
4000 Employees
98K-127K Annually

Dropbox Logo Dropbox

Senior Data Scientist

Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Remote
Canada
2500 Employees
162K-220K Annually

Dropbox Logo Dropbox

Data Scientist

Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Remote
Canada
2500 Employees
188K-254K Annually

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
15 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account