Grafana Labs

Staff AI Engineer to own the AI agent infrastructure and automation platform for GTM teams. Build multi-agent architectures, LLM integrations, and backend services connecting AI models to internal/third-party data platforms. Ship production systems, define technical direction, and partner with teams to build scalable, self-service automation.

Staff AI Engineer to own the AI agent infrastructure and automation platform powering GTM teams. Build multi-agent architectures, LLM integrations, and backend services connecting AI models to internal and third-party data platforms. Ship production systems, define technical direction, and partner with various teams to build scalable, self-service automation. Responsibilities include end-to-end development of multi-agent AI systems, building modular agentic systems, developing reusable agentic skills, implementing observability and feedback loops, establishing governance, building MCP servers and APIs, architecting RAG data flows, and building serverless/containerized services. Also involves partnering with RevOps and Finance, designing workflows, and building self-service systems. Requires 8+ years of software engineering experience, 2+ years applying LLMs/AI to production, proficiency in Python/JavaScript, experience with LLM frameworks (prompt engineering, RAG, function calling), building multi-agent systems, GCP, BigQuery, and understanding LLM failure modes.

Staff AI Engineer to own the AI agent infrastructure and automation platform for GTM teams, building multi-agent architectures, LLM integrations, and backend services. The role involves shipping production systems, defining technical direction, and partnering with various teams to create scalable, self-service automation. Responsibilities include end-to-end development of multi-agent systems, building agentic skills, implementing observability, establishing governance, integrating AI models with business systems, architecting RAG flows, and designing/deploying workflows with CI/CD standards. Requires 8+ years of software engineering experience, 2+ years applying LLMs to production, proficiency in Python/JavaScript, experience with LLM frameworks (prompt engineering, RAG, tool use, evaluation), and building/operating multi-agent systems at scale. Familiarity with GCP, BigQuery, serverless/containerized services, and LLM failure modes is essential. The role emphasizes diagnosing business problems, thinking in workflows, identifying high-leverage opportunities, and using AI-assisted development tools.

Staff AI Engineer to own the AI agent infrastructure and automation platform for Marketing Operations. This role involves building multi-agent architectures, LLM integrations, and backend services, connecting AI models to internal and third-party data platforms, and shipping production systems. The engineer will define the technical direction for the automation platform, partner with other teams, and build scalable, self-service automation.

Staff AI Engineer responsible for owning the AI agent infrastructure and automation platform for Marketing Operations. This role involves building multi-agent architectures, LLM integrations, and backend services connecting AI models to internal and third-party data platforms, shipping production systems. The engineer will define technical direction, partner with other teams, and build scalable, self-service automation.

Staff AI Engineer focused on building AI-powered systems and intelligent workflows for the People Technology team. The role involves architecting and implementing AI solutions using BigQuery and integrating various HR platforms to unlock insights from People data, improve operational efficiency, and ensure responsible AI practices. Key responsibilities include designing AI workflows, agents, and analytics tools, establishing prompt engineering standards, and setting technical direction for AI architecture within the People technology domain.

Staff AI Engineer focused on building AI-powered systems and intelligent workflows for the People Technology team, leveraging sensitive employee data to improve hiring, development, and support processes. The role involves architecting solutions, establishing data pipelines, automation, and AI-driven workflows, with a strong emphasis on data governance, privacy, and responsible AI practices. The engineer will also set technical direction and mentor others.

Senior AI Engineer focused on building and shipping AI-powered features for observability tools, including LLM- or agent-powered workflows for incident management and automated analysis. The role emphasizes rapid experimentation, cross-functional collaboration, and delivering production-ready AI solutions.

Senior AI Engineer focused on building and scaling AI-powered features for observability tools, including LLM and agent-based workflows for incident response and analysis. The role emphasizes rapid experimentation, cross-functional collaboration, and delivering production-ready AI solutions.

Staff AI Engineer role focused on building and delivering AI solutions for observability data, including LLM- or agent-powered workflows for incident management and automated analysis. The role emphasizes rapid experimentation, cross-functional collaboration, and shipping scalable, maintainable AI features into production.

Staff AI Engineer focused on building and shipping AI-powered features for observability tools, specifically reducing toil and assisting users with incident response through LLM and agentic workflows. The role emphasizes rapid experimentation, iteration, and collaboration to deliver scalable, production-ready AI solutions.