AI Data Engineer | MLabs Talent Partners

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Describe a RAG or retrieval system you’ve built for high-stakes or data-dense domains. How did you choose embeddings, manage freshness, handle latency, and prevent incorrect or outdated answers *

How do you evaluate LLM-powered systems in production? What metrics do you track (quality, correctness, latency, cost), and how do you detect regressions over time? *

How have you used LangGraph or a similar framework to manage complex agent workflows? Can you explain how you handled branching, retries, state persistence, and error recovery? *

Describe a production system you’ve built using single or multi-agent architectures. What agents existed, how did they coordinate (planning, memory, tool use), and what broke when you moved from prototype to production? *

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Have you been in the process with Chaos Labs in the past 12 months either direct or through another recruiter? *

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