Grafana Labs

1 month ago

Senior AI Engineer | US | Remote

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the AI agent infrastructure and automation platform for Grafana Labs’ Marketing Operations. Design multi-agent architectures, integrate LLMs, and build backend services connecting AI models to internal and third-party data platforms, delivering self-service automation with measurable business impact.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
•Build modular, composable agentic systems using orchestration frameworks that operate 24/7 across teams
•Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
•Implement observability and feedback loops including 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 paths

Pay and Benefits

Equity and Bonus:Equity

Perks:RsusRemote WorkAnnual Leave

Key Requirements

•8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
•2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
•Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
•Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
•Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring

Experience:8+ yearsAIMLBackendData/analyticsCloud

Skills:PythonJavaScriptNode.jsGitBigQueryGoogle Cloud PlatformCloud FunctionsCloud RunLangChainCrewAIAnthropic MCPSlackAPIsCI/CDTestingObservabilityMCPRAGPrompt engineeringLLMs

Languages:English

Tech Stack:PythonJavaScriptNode.jsGitBigQueryGCPCloud FunctionsCloud RunLangChainCrewAIAnthropic MCPSlackAPIsCI/CDLLMsRAGPrompt engineeringMCPMulti-agent systems

Company Brief

Grafana Labs

Develops open-source and commercial observability tools, including Grafana for metrics visualization, Loki for log aggregation, and Tempo for tracing, enabling organizations to monitor, analyze, and visualize system performance and telemetry data.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: New York, United States

Founded: 2014

Website LinkedIn

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Grafana Labs

1 month ago

Senior AI Engineer | US | Remote

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
•Build modular, composable agentic systems using orchestration frameworks that operate 24/7 across teams
•Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
•Implement observability and feedback loops including 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 paths

Pay and Benefits

Equity and Bonus:Equity

Perks:RsusRemote WorkAnnual Leave

Key Requirements

•8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
•2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
•Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
•Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
•Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring

Experience:8+ yearsAIMLBackendData/analyticsCloud

Skills:PythonJavaScriptNode.jsGitBigQueryGoogle Cloud PlatformCloud FunctionsCloud RunLangChainCrewAIAnthropic MCPSlackAPIsCI/CDTestingObservabilityMCPRAGPrompt engineeringLLMs

Languages:English

Tech Stack:PythonJavaScriptNode.jsGitBigQueryGCPCloud FunctionsCloud RunLangChainCrewAIAnthropic MCPSlackAPIsCI/CDLLMsRAGPrompt engineeringMCPMulti-agent systems

Company Brief

Grafana Labs

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: New York, United States

Founded: 2014

Website LinkedIn