- Write and ship production AI code daily.
- Lead work on high-speed customer context retrieval using semantic, indexing, and knowledge graph approaches.
- Build inference and signal layers to score data from Iceberg-based lakehouse storage.
- Turn detected conditions like churn risk or expansion opportunities into automated workflows.
- Manage inference costs by selecting appropriate workload tools, from deterministic code to large/fine-tuned models.
- Own evaluation and observability for AI systems to ensure signal soundness before action.
- Set technical patterns for other engineering teams and collaborate with leadership to execute company goals.
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