AI Engineer , Sr. | US | Remote

About the Role

Grafana Labs is seeking a Senior Engineer, AI & Automation to own the AI agent infrastructure and automation platform supporting Marketing Operations. You’ll build production-ready multi-agent systems, LLM integrations, backend services, and automation workflows that connect AI models with internal and third-party data platforms.

This is a high-autonomy role focused on technical direction, scalable automation, and measurable operational impact. You’ll partner with Marketing, Revenue Operations, SDR, Data Engineering, GTM Systems, and Field Operations teams to identify high-value opportunities, design solutions, and deliver reliable self-service systems that reduce manual work.

This is a fully remote opportunity for candidates based in the United States.

Key Responsibilities

Agentic Systems & AI Infrastructure

* Own end-to-end development of multi-agent AI systems, including architecture, implementation, testing, deployment, and ongoing operations.

* Build modular and composable agentic systems using orchestration frameworks such as LangChain, CrewAI, Anthropic MCP, or similar technologies.

* Develop reusable agentic skills that can operate across Slack, dashboards, internal applications, and command-line interfaces.

* Implement observability and feedback systems covering 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.

Systems Integration & Backend Services

* Build MCP servers, APIs, CLIs, and microservices that connect AI models with business systems such as BigQuery, Slack, CRMs, email, calendars, and analytics platforms.

* Architect retrieval-augmented generation (RAG) data flows connecting LLMs with internal knowledge bases, customer data, and real-time business context.

* Build scalable serverless and containerized services using technologies such as GCP Cloud Functions and Cloud Run.

* Integrate AI and automation services with cloud infrastructure and business technology platforms.

Automation & Workflow Enablement

* Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to identify automation opportunities, bottlenecks, and measurable business outcomes.

* Design and deploy reliable workflows using n8n, Workato, or custom automation platforms.

* Apply CI/CD, testing, and production reliability practices to automation workflows.

* Build self-service systems supported by documentation, playbooks, and enablement materials.

* Help partner teams operate and maintain automation solutions independently.

* Define technical direction for automation platforms, including data models, API contracts, shared libraries, and reference architectures.

Required Qualifications

* 8+ years of software engineering experience with depth in backend development, systems integration, or data and analytics engineering.

* 2+ years of hands-on experience applying LLMs or AI to production workflows beyond prototypes.

* Strong proficiency in Python.

* Strong proficiency in JavaScript and Node.js.

* Experience with Git-based development workflows, code reviews, and software testing practices.

* Hands-on experience with LLM frameworks and AI engineering patterns, including:

* Prompt engineering

* Retrieval-augmented generation (RAG)

* Function calling and tool use

* Structured output parsing

* Model and AI evaluation

* Experience building and operating multi-agent systems at scale.

* Experience with agent decomposition and orchestration patterns such as sequential chains, router/dispatcher architectures, and parallel fan-out.

* Experience with state management and production monitoring for AI or agentic systems.

Preferred Qualifications

* Experience with LangChain, CrewAI, Anthropic MCP, or similar agent orchestration frameworks.

* Experience building MCP servers, APIs, CLIs, and microservices for AI integrations.

* Experience with BigQuery, Slack, CRM platforms, email, calendar, or analytics integrations.

* Experience with GCP Cloud Functions and Cloud Run.

* Experience with n8n, Workato, or comparable workflow orchestration platforms.

* Experience implementing AI governance, access controls, audit trails, PII handling, and human-in-the-loop workflows.

* Experience building reusable AI agent skills and self-service …