Staff AI Engineer - Grafana Ops, AI/ML
Canada time zones only, Canada time zonesFull-TimeStaff
Salary186368 - 223642 CAD per year
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Job Details
- Required Skills
- AWSGCPAzurePrompt EngineeringGenerative AI
Requirements
- Strong engineering skills: solid experience building production software systems (backend and / or full stack)
- AI experience with a practical mindset, focusing on delivering high-quality solutions that work in the real world
- Quick iteration and experimentation: comfortable releasing prototypes, collecting feedback, and iterating pragmatically
- Proven initiative: takes ownership, drives projects, pushes boundaries, and defines scope in ambiguity
- Collaborative attitude: communicates effectively with peers, product managers, and designers, open to feedback, solutions-oriented
- 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
Responsibilities
- Build and deliver AI solutions to help users detect, triage, and resolve incidents using observability data and tools
- Implement a highly iterative process for rapid prototyping, testing, and validation with real users
- Ship and evolve LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks
- 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 AI and automation tools to enhance product functionality and development workflows
- Communicate effectively and contribute across teams in a dynamic and collaborative environment
- Take full ownership of AI solutions, ensuring they are innovative, scalable, maintainable, and aligned with real user workflows
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