4 hours ago
Base Salary
$154k - $185k/yr
Responsibilities
- Own the end-to-end architecture, implementation, testing, deployment, and operation of multi-agent AI systems.
- Build modular agentic systems using LangChain, CrewAI, Anthropic MCP, or similar orchestration frameworks.
- Develop reusable agentic skills accessible through Slack, dashboards, internal applications, and CLIs.
- Implement observability, feedback loops, performance metrics, prompt iteration, model evaluation, and cost management.
- Establish governance and compliance standards covering access controls, audit trails, PII handling, and human-in-the-loop escalation.
- Build MCP servers, APIs, CLIs, and microservices connecting AI models with BigQuery, Slack, CRMs, email, calendars, and analytics tools.
- Architect RAG data flows connecting LLMs to internal knowledge bases, customer data, and real-time business context.
- Build scalable serverless or containerized services using GCP Cloud Functions and Cloud Run.
- Partner with Marketing, RevOps, Demand Generation, Regional Marketing, and SDR teams to identify and automate high-impact workflows.
- Design and deploy reliable workflows using n8n, Workato, or custom platforms with CI/CD and testing standards.
- Create documentation, playbooks, and enablement materials so partner teams can operate automations independently.
- Define the automation platform’s technical direction, including data models, API contracts, shared libraries, and reference architectures.
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 model evaluation.
- Experience building and operating multi-agent systems at scale, including decomposition, orchestration, state management, and production monitoring.
- Deep familiarity with Google Cloud Platform, BigQuery, Cloud Functions, and Cloud Run.
- Understanding of LLM failure modes and mitigations such as confidence thresholds, fallback logic, human escalation, and cost or latency management.
- Ability to diagnose business problems, identify high-leverage opportunities, challenge low-impact requests, and deliver independently.
- Fluency with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code.
- Clear technical communication skills for explaining complex systems to engineering and business stakeholders.
- Preferred experience with vector databases or retrieval pipelines including Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector.
- Preferred familiarity with Salesforce, Customer.io, HubSpot, Marketo, or Outreach.
- Preferred experience with React or Slack Block Kit for user-facing AI interfaces.
- Preferred experience with LangSmith, Weights & Biases, or custom AI evaluation frameworks.
- Preferred experience with n8n, Temporal, Prefect, or Airflow.
- Preferred familiarity with Model Context Protocol or similar standards.
- Prior B2B SaaS automation experience and active open-source community participation are valued.
Benefits
- 100% remote work with a global culture; this role seeks candidates from the U.S.
- In-person onboarding is provided.
- 30 days of annual leave per annum, including three Grafana Shutdown Days, subject to local legislation.
- Restricted Stock Units are included with all roles.
- Career growth pathways, transparent communication, empowered teams, and an innovation-driven environment.
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.