Grafana Labs
Senior AI Engineer
United States (Remote) · Senior
Sponsorship not specifiedDetected 13 days ago
JavaScriptPythonReactNode.jsBackend DevelopmentCode ReviewGitBigQueryVector DatabasesGCPCloud PlatformsCI/CDGrafanaTemporalAirflowData EngineeringLLMsRAGAgentic AIAI OrchestrationHubSpotSalesforceMarketoCustomer Success
About the role
- You'll ship production systems that teams depend on daily.
Responsibilities
- 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
- Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
- Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
- 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
- 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
- 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
Requirements
- 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
- 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
- Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
- Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
- Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
Skills
- Grafana Cloud, our fully managed observability platform, is flexible and built for scale.
- Learn more at grafana.com and follow us on LinkedIn and X.
Compensation
- In the United States, the base compensation range for this role is USD $154,445 - USD $185,334.
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. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation 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
- Employer: Grafana Labs is an equal opportunities employer.
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This listing is sourced directly from Grafana Labs's careers page and normalized into a canonical job model.