Added
42 minutes ago
Type
Full time
Salary
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Related skills

bigquery node.js javascript python rag

πŸ“‹ Description

  • Own end-to-end development of multi-agent AI systems.
  • Build modular agentic systems with orchestration frameworks (LangChain) operating 24/7.
  • Develop reusable agentic skills across Slack, dashboards, and CLIs.
  • Implement observability, logging, metrics, prompt iteration, and cost controls.
  • Establish governance for AI workflows (PII handling, access controls, human-in-the-loop).
  • Architect data flows for retrieval-augmented generation (RAG) with internal data.

🎯 Requirements

  • 8+ years of software engineering experience in backend, systems integration, or data/analytics.
  • 2+ years applying LLMs/AI to production workflows.
  • Proficiency in Python and JavaScript/Node.js with Git-based workflows and testing.
  • Hands-on with LLM frameworks/patterns: prompt engineering, RAG, function calling, parsing, evaluation.
  • Experience building and operating multi-agent systems at scale (orchestration, state management, production monitoring).
  • Familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run).
  • Understanding of LLM failure modes and production mitigations (confidence thresholds, fallback, human escalation, cost/latency).

🎁 Benefits

  • 100% Remote, Global Culture
  • Transparent communication and regular updates
  • Career growth pathways and opportunities
  • Open source roots that influence how we work
  • Empowered teams with high-trust environment
  • 30 days annual leave plus Grafana Shutdown Days (3 days)
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