4 hours ago
Remote, CanadaStaff+
Responsibilities
- Own the architecture, implementation, testing, deployment, and operation of multi-agent AI systems.
- Build reusable agentic skills and orchestration workflows using frameworks such as LangChain, CrewAI, and Anthropic MCP.
- Implement observability, feedback loops, model evaluation, prompt iteration, performance monitoring, and cost management.
- Establish AI workflow governance covering access controls, audit trails, PII handling, compliance, and human escalation.
- Build MCP servers, APIs, CLIs, microservices, and RAG data flows connecting LLMs to business systems and knowledge bases.
- Deploy scalable serverless or containerized services using Google Cloud Functions and Cloud Run.
- Partner with Marketing, RevOps, Demand Generation, Regional Marketing, and SDR teams to automate high-impact workflows.
- Design self-service automation workflows using n8n, Workato, or custom platforms, with documentation and enablement materials.
Requirements
- 8+ years of software engineering experience with depth in backend development, systems integration, or data and analytics engineering.
- 2+ years of hands-on experience applying LLMs or AI to production workflows.
- Strong proficiency in Python and JavaScript/Node.js, with Git-based workflows, code review, and testing practices.
- Experience with prompt engineering, RAG, function calling or tool use, structured output parsing, and evaluation.
- Experience building and operating multi-agent systems at scale, including orchestration, state management, monitoring, and failure mitigation.
- Deep familiarity with Google Cloud Platform, BigQuery, Cloud Functions, and Cloud Run.
- Ability to diagnose business problems, identify high-leverage opportunities, and deliver independently with minimal direction.
- Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code.
- Clear technical communication skills for explaining complex systems to technical and business stakeholders.
- Preferred experience with vector databases or retrieval systems including Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector.
- Preferred familiarity with Salesforce, Customer.io, HubSpot, Marketo, Outreach, React, Slack Block Kit, LangSmith, Weights & Biases, n8n, Temporal, Prefect, Airflow, or Model Context Protocol.
- Experience automating marketing, sales, or customer-success workflows in a B2B SaaS environment and participation in open-source communities are valued.
Benefits
- 100% remote work in Canada, with residents of Quebec ineligible for this role.
- Base compensation is CAD 164,490–CAD 197,389, with RSUs included for all roles.
- 30 days of annual leave per year, including three Grafana Shutdown Days, subject to local legislation.
- In-person onboarding, career growth pathways, transparent communication, and an open-source, high-trust culture.
Tech Stack
Categories
About Grafana
Grafana Labs builds open-source observability tools and a managed SaaS, Grafana Cloud, used by engineering and SRE teams to monitor, visualize, and analyze telemetry. Its products include Grafana dashboards plus Loki (logs), Tempo (traces), and Mimir (metrics), offered as cloud subscriptions and enterprise software. Privately held and headquartered in New York, it serves customers such as Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce.