At a Glance
- Tasks: Develop AI solutions to enhance observability tools and improve incident response.
- Company: Join Grafana Labs, a leading remote tech company with a global collaborative culture.
- Benefits: Competitive salary, RSUs, 30 days annual leave, and a supportive work environment.
- Other info: Enjoy a dynamic, innovation-driven workplace with excellent career growth opportunities.
- Why this job: Make a real impact in AI-driven observability while working remotely with a passionate team.
- Qualifications: Strong software engineering skills and experience with AI technologies.
The predicted salary is between 135000 - 165000 $ per year.
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions.
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 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 186,368 - CAD 230,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture
- Scaling Organization
- Transparent Communication
- Innovation-Driven
- Open Source Roots
- Empowered Teams
- Career Growth Pathways
- Approachable Leadership
- Passionate People
- In-Person onboarding
- Balance is Key
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.
Staff AI Engineer – Remote employer: Grafana
Grafana Labs is an exceptional employer that champions a 100% remote work culture, fostering collaboration among a diverse team across 40+ countries. With a strong emphasis on innovation and transparency, employees are empowered to take ownership of their work while benefiting from defined career growth pathways and a generous annual leave policy. Joining Grafana means being part of a passionate community dedicated to meaningful work in a high-growth environment, where your contributions directly impact the company's success.