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 automation platforms. Experience with AI-assisted software development tools such as Claude Code, Gemini CLI, OpenAI Codex, or similar tools within security guidelines. Skills & Competencies

• AI Engineering and LLM Applications

Multi-Agent Systems Agent Orchestration Python JavaScript Node.js Backend Engineering Systems Integration API Development Microservices MCP Servers Retrieval-Augmented Generation (RAG) Prompt Engineering Function Calling and Tool Use Structured Output AI Evaluation Production Monitoring Cloud Infrastructure GCP Cloud Functions Cloud Run Workflow Automation CI/CD Git Data and Analytics Engineering Technical Architecture Cross-Functional Collaboration Education & Experience Experience 8+ years of software engineering experience in backend development, systems integration, or data/analytics engineering. 2+ years of hands-on experience applying LLMs or AI to production workflows. Experience building and operating multi-agent AI systems at scale. Education No specific educational requirement was provided in the source listing. Work Arrangement & Location

• Fully remote.

United States-based candidates. Location listed: San Diego, CA, US. Grafana Labs operates as a 100% remote company.

Compensation

• USD $154,445–$185,334.

Apply Now Apply for the Senior Engineer, AI & Automation opportunity with Grafana Labs to work on production AI agents, LLM infrastructure, backend integrations, and scalable automation systems.