AI Software Engineer at Grafana Labs developing high-performance AI features for observability tools. Collaborating with cross-functional teams to improve systems using complex observability data and AI-driven features.
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.
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.
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.
Benefits
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.
Applied AI Engineer developing financial data transformation tools for crypto accounting platform at Cryptio. Collaborate with the VP on AI innovations and full - stack delivery.
AI Engineer responsible for architecting AI agents and generative workflows at Colliers. Collaborate with stakeholders to build intelligent systems on Google Cloud Platform.
Senior AI Engineer at Supernal building AI Employee software solutions for SMB customers with a focus on production deployments and technical delivery.
Hiring a GenAI Developer for a 12 - month hybrid contract in Toronto. Requires 7+ years experience in Generative AI, LLM, AWS, Azure, Python, and LangChain.
Hiring: Generative AI Lead Engineer (10+ yrs) for Toronto/Calgary. Full - time role requiring expertise in Gen AI, Azure OpenAI, RAG, Python, and cloud - native AI/ML solutions.
Senior ML/AI Engineer developing AI - driven solutions for cannabis retail platform. Collaborating with cross - functional teams and driving AI initiatives within remote - first organization.
Operations role in a global SaaS FinTech managing marketing programs and AI - driven workflow automation to optimize resources. Collaborating with executive leadership on deliverables and accountability.
GenAI Architect contributing to AI - powered applications through design and implementation in an agile team. Own the architecture for agentic AI systems and collaborate with diverse engineers.
Hiring Senior AI Engineers for hybrid role in Mississauga, ON. Requires experience in AI, ML, Generative AI, Python, NLP/LLMs, and Cloud & Data Engineering.