Staff AI Engineer | US | Remote

About the role

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

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.

This is a remote opportunity and we are looking for candidates from the U.S.

The Opportunity

Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. 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-use problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. 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, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You'll Be Doing

Agentic Systems & AI Infrastructure

• 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 that operate 24/7 across teams.
• Develop reusable agentic skills that agents invoke across interfaces such as Slack, dashboards, and internal apps.
• 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.

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems such as BigQuery, Slack, CRMs, email, and calendars for reliable data flow.
• 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.

Automation & Workflow Enablement

• 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 with CI/CD, testing, and deployment practices tailored for automated operations.

What You'll Bring

You must have hands-on experience building multi-agent systems and integrating LLM services into production environments. You must be comfortable architecting data flows for retrieval-augmented generation that connects knowledge bases to real-time context. You must have proven ability building backend services with containers or serverless functions that scale on GCP. You must understand API and contract design for microservices and MCP servers serving AI workloads. You must have experience with observability, logging, and performance metrics for complex distributed systems. You must have experience with orchestration frameworks such as LangChain, CrewAI, or similar agentic tools. You must have experience with CI/CD, testing, and deployment practices for automated workflows. You must have experience collaborating with RevOps, GTM Systems, and field operations to deliver scalable automation.

Nice to Have

Experience with n8n, Workato, or similar workflow orchestration tools.

Skills & Tools

Grafana Cloud, BigQuery, Slack, LangChain, CrewAI, Anthropic MCP, n8n, Workato, GCP Cloud Functions, GCP Cloud Run.

What you'll do

• Meet the bar