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Job Overview

We are building an AI system that creates data connectors by itself and keeps them working by itself. If a connector silently produces bad data, a customer dashboard may be wrong and someone may make a bad decision based on it.

Key points

  1. The central problem is deciding what the system can safely do by itself and where it needs human intervention.

  2. You will also help answer harder questions.

When should the system stop and ask a human?

  1. How do we catch an API change before the customer does?

Requirements

  1. You have built serious backend, infrastructure or distributed systems.

  2. You have also built real systems with LLMs and have experienced the gap between something working in a demo and surviving production.

  3. You have dealt with outputs that change between runs.

  4. You have built evaluations around probabilistic systems.

  5. You have had to decide when a model should act autonomously and when deterministic software or a human should take over.

Skills

LLMsJavaKubernetesPrompt EngineeringData VisualizationETLSnowflakeBigQuery

Experience: Senior-level · 8+ years · Job type: Full-time

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