Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
Requirements
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.
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 ).
This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time. Staff AI Engineer
Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams.
You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms.
You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines).
We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on
experience applying LLMs/AI to production workflows, not just prototypes
Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on
experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation •
Deep familiarity with Google Cloud Platform, BigQuery , and serverless/containerized services (Cloud Functions, Cloud Run)
Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
Proven ability to identify high-leverage problems , push back on low-impact requests, and deliver end-to-end with minimal direction
Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools •
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks) •
Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments Previous
experience in open source or developer-focused SaaS companies —Grafana is built on OSS and we value engineers who share that DNA
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings.
Experience
8+ years of software engineering
Benefits
Clear technical communicator —you can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points For: •
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642 .
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 &
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.
Additional details
Grafana Labs is a remote-first, open-source powerhouse.
The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France.
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.
You'll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction.
You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them.
Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring