Staff AI Engineer | USA | Remote

The role

You will own the AI agent infrastructure and automation platform for the Marketing Operations organization. You will build multi-agent architectures, LLM integrations, and backend services to connect AI models to internal and third-party data platforms.

What you will do

• Own end-to-end development of multi-agent AI systems
• Build modular, composable agentic systems using orchestration frameworks
• Develop reusable agentic skills for various interfaces
• Implement observability and feedback loops for AI workflows
• Establish governance and compliance standards for AI workflows
• Build MCP servers, APIs, CLIs, and microservices
• Architect data flows for retrieval-augmented generation (RAG)
• Build serverless or containerized services on GCP
• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to build automation solutions
• Design and deploy workflows using orchestration tools

Required qualifications

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows
• Strong proficiency in Python and JavaScript/Node.js
• 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 building and operating multi-agent systems at scale
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations
• Proven ability to identify high-leverage problems and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code)

Nice to have

• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
• Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
• Experience with frontend frameworks (React, Slack Block Kit)
• Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
• Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
• Familiarity with Model Context Protocol (MCP) or similar standards
• Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
• Active in open-source communities

Benefits

• 100% Remote, Global Culture
• Restricted Stock Units (RSUs)
• Access to AI coding assistants
• In-Person onboarding
• 30 days annual leave per annum
• 3 days reserved for Grafana Shutdown Days

About the company

Grafana Labs is the company behind Grafana Cloud, a fully managed observability platform. It is a 100% remote company with team members across 40+ countries.