Own end-to-end development of agentic and AI-integrated workflows: design, implementation, testing, deployment, and maintenance
Build modular, composable agentic systems using frameworks like LangChain, CrewAI, Anthropic MCP, or similar orchestration libraries
Develop "agentic skills" for SDR and CSM teams—reusable capabilities that agents can invoke across interfaces (Slack, dashboards, internal apps)
Implement observability and feedback loops: logging, performance metrics, prompt iteration, and model evaluation
Build MCP servers, CLIs and APIs and microservices that connect AI models to business systems: Salesforce, BigQuery, Slack, HubSpot, email, calendars, analytics tools
Architect data flows that enable retrieval-augmented generation (RAG)
Build serverless or containerized services (GCP Cloud Functions, Cloud Run, or similar) that scale with usage and integrate with Grafana's cloud infrastructure
Scope high-impact automation problems autonomously
Design and deploy automation workflows using tools like n8n, Zapier, Prefect, or custom orchestration platforms
Build systems designed for self-service, with documentation and enablement materials

Requirements

5+ years of software engineering experience, including backend development and systems integration work
Strong proficiency in Python (preferred) or Javascript/Node.js
Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and orchestration libraries (LangChain, LlamaIndex, Anthropic MCP, Semantic Kernel, etc.)
Comfortable building internal APIs, microservices, or serverless systems (GCP Cloud Functions, Cloud Run, AWS Lambda, or similar)
Familiarity with SQL and data warehouses (BigQuery preferred)
Experience with authentication patterns, secure API handling, rate limiting, and workflow automation
Proven ability to deliver AI-powered features in production environments
Strong problem selector who can identify high-leverage initiatives and push back on low-impact requests
Thrives in ambiguous, fast-moving projects; able to balance experimentation with engineering rigor
Clear technical communicator—able to explain complex systems in simple terms and collaborate effectively with product and data stakeholders
Comfort with autonomy—able to identify the right questions, structure unstructured problems, and drive work independently.

Benefits

Equity
Bonus (if applicable)
Restricted Stock Units (RSUs)
30 days annual leave
3 days for Grafana Shutdown Days
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavascriptNode.jsLLM APIsLangChainCrewAIAnthropic MCPSQLmicroservicesserverless systems

Soft Skills

problem solvingtechnical communicationautonomycollaborationadaptabilityinitiativeexperimentationengineering rigorhigh-leverage initiative identificationclear explanation of complex systems