Grafana Labs is hiring a Staff AI Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers its Marketing Operations organization. This is a remote opportunity, and Grafana Labs is looking for candidates from the U.S. You will build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. This is a high-autonomy role where you own the technical direction: you will identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them.

What you’ll be doing:

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through deployment
• Build modular, composable agentic systems using orchestration frameworks such as LangChain, CrewAI, and Anthropic tools
• Develop reusable agentic skills that agents invoke across interfaces such as Slack, dashboards, and internal applications
• Implement observability and feedback loops including logging, performance metrics, and prompt iteration
• Establish governance and compliance standards for AI workflows including access controls and audit trails
• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems including BigQuery
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage
• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automations
• Design and deploy workflows using orchestration tools such as n8n, Workato, or custom platforms, with CI/CD
• Build systems designed for self-service with documentation, playbooks, and enablement materials

What makes you a great fit:

• 8+ years of software engineering experience with depth in backend development and systems integration
• 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 and code review practices
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, and function calling
• Experience building and operating multi-agent systems at scale including agent decomposition and orchestration
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services
• Understanding of LLM failure modes and production mitigations including confidence thresholds and fallbacks
• Fluent with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code

Bonus points for experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector), marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach), frontend frameworks (React, Slack Block Kit), observability tooling for AI systems, workflow orchestration platforms, the Model Context Protocol (MCP), and prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment.

Salary: In the United States, the base compensation range for this role is USD $154,445 – USD $185,334. Compensation ranges are country specific.

Source: Grafana Labs. Apply here: https://job-boards.greenhouse.io/grafanalabs/jobs/6092955004