Staff AI Engineer

🕒 June 18

🇺🇸 United States – Remote

💵 $154.4k - $185.3k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 47%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grafana Labs

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.

📋 Description

• 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 LangChain, CrewAI, Anthropic MCP, or similar orchestration frameworks • Develop reusable agentic skills usable through Slack, dashboards, internal apps, and 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 • Build MCP servers, APIs, CLIs, and microservices connecting AI models to BigQuery, Slack, CRMs, email, calendars, and analytics tools • Architect retrieval-augmented generation data flows connecting LLMs to knowledge bases, customer data, and real-time business context • Build serverless or containerized services with GCP Cloud Functions and Cloud Run • Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to identify automation opportunities and bottlenecks • Design and deploy workflows using n8n, Workato, or custom platforms with CI/CD, testing, and production reliability standards • Create documentation, playbooks, and enablement materials for self-service operation • Own the technical direction of the automation platform and partner with Data Engineering, GTM Systems, and Field Operations

🎯 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 • Strong proficiency in Python and JavaScript/Node.js • Git-based workflows, code review practices, and testing discipline • Hands-on experience with prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation • Experience building and operating multi-agent systems at scale • Deep familiarity with Google Cloud Platform, BigQuery, Cloud Functions, and Cloud Run • Understanding of LLM failure modes and production mitigations • Proven ability to identify high-leverage problems and deliver end-to-end with minimal direction • Fluency with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code • Clear technical communication skills • Bonus: experience with vector databases or retrieval pipelines • Bonus: familiarity with Salesforce, Customer.io, HubSpot, Marketo, or Outreach • Bonus: experience with React or Slack Block Kit • Bonus: experience with LangSmith, Weights & Biases, or custom evaluation frameworks • Bonus: experience with n8n, Temporal, Prefect, or Airflow • Bonus: familiarity with Model Context Protocol (MCP) • Bonus: prior automation of marketing, sales, or customer success workflows in B2B SaaS • Bonus: active participation in open-source communities

🏖️ Benefits

• Restricted Stock Units (RSUs) • Access to AI coding assistants including Claude Code, Gemini CLI, and OpenAI Codex • 100% remote, remote-only company • Career growth pathways • In-person onboarding • 30 days of annual leave per annum • 3 annual leave days reserved for Grafana Shutdown Days • Transparent communication and regular company-wide updates • Autonomy and support to ship great work • Empowered, high-trust teams • Approachable, transparent leadership • Global collaborative culture

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