About the role

Senior Engineer (AI & Automation) developing AI systems for marketing operations at Grafana Labs. Open-source observability cloud company with global remote culture.

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)
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

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, 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
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
Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
Proven ability to identify high-leverage problems and deliver end-to-end with minimal direction