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Senior AI & Automation Engineer (Multi-Agent Systems & LLM Infrastructure)

torentify • United State
Remote
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Lead the design, development, and scaling of production-ready AI agent infrastructure and automation platforms for Marketing Operations at Grafana Labs. Own end-to-end multi-agent systems, LLM integrations, and backend services to streamline workflows across Slack, CRMs, and analytics platforms. Collaborate cross-functionally to deliver measurable operational impact and self-service automation solutions in a fully remote US-based role.

Key Highlights
Own end-to-end development of scalable multi-agent AI systems and LLM integrations for Marketing Operations
Build modular agentic systems with observability, governance, and compliance standards for AI workflows
Partner with cross-functional teams to identify automation opportunities and deploy production-grade workflows
Key Responsibilities
Design and implement production-ready multi-agent AI systems using orchestration frameworks like LangChain or CrewAI
Develop backend services, APIs, and microservices to integrate AI models with internal/external platforms (e.g., BigQuery, Slack, CRMs)
Build retrieval-augmented generation (RAG) pipelines and scalable automation workflows for Marketing Operations teams
Establish governance, compliance, and observability standards for AI workflows (e.g., access controls, audit trails, cost management)
Collaborate with cross-functional teams to identify automation opportunities and deliver self-service systems
Technical Skills Required
Python JavaScript Multi-Agent Systems & AI Orchestration
Benefits & Perks
Fully remote work (US-based)
Annual salary range: $154,445–$185,334
Nice to Have
Experience with LangChain, CrewAI, or Anthropic MCP
Hands-on experience with BigQuery, Slack, CRM, or analytics integrations
Familiarity with GCP Cloud Functions/Cloud Run or n8n/Workato

Job Description

## 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.

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