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Állás · Senior

Senior AI Engineer | USA | Tavmunka

Grafana Labs
AI / ML Engineer • Senior • Remote • Teljes munkaidő • 📍 Remote (US)
📄 Eredeti hirdetés megtekintése (EN)

Grafana Labs is hiring a Senior AI & Automation Engineer to own the AI-agent infrastructure and automation platform powering its Marketing Operations organization. The role involves building multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms, shipping production systems teams depend on daily. It is a high-autonomy position where you own the technical direction and solve the highest-leverage problems across Marketing, RevOps, and SDR teams. Grafana is a 100% remote company; this role is open to candidates in the U.S.

Stack

AirflowGCPGitGitHubGrafanaJavaScriptLangChainNode.jsPythonReactSalesforce

Feladatok

  • ▹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 (LangChain, CrewAI, Anthropic MCP, or similar) 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
  • ▹Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
  • ▹Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
  • ▹Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage
  • ▹Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems and build solutions with measurable business outcomes
  • ▹Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
  • ▹Build systems designed for self-service with documentation, playbooks, and enablement materials so partner teams can operate independently

Elvárások

  • ▹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
  • ▹You diagnose business problems before writing code; you think in workflows and outcomes
  • ▹Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
  • ▹Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
  • ▹Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
  • ▹Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code)
  • ▹Clear technical communicator who can explain complex systems in simple terms to engineers and business stakeholders

Előny

  • ▹Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
  • ▹Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
  • ▹Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
  • ▹Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
  • ▹Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
  • ▹Familiarity with Model Context Protocol (MCP) or similar standards
  • ▹Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
  • ▹Active in open-source communities

Soft skillek

High autonomy and ownershipProblem-solving, outcome-oriented thinkingClear technical communication to technical and business audiencesProactivity in identifying high-leverage problems

Amit kínálunk

  • ▹In the U.S., the base compensation range for this role is USD 154,445 - 185,334; actual compensation may vary based on level, experience, and skillset
  • ▹Restricted Stock Units (RSUs) in every role, giving ownership in Grafana Labs' success
  • ▹100% remote, global culture
  • ▹In-person onboarding to thrive from day 1
  • ▹Global annual leave policy of 30 days per year (3 reserved for Grafana Shutdown Days)
  • ▹Transparent communication, autonomy, and career growth pathways