Job Description
stuck agents, failed scrapes, API timeouts), diagnose the root cause, and
determine if it requires a quick fix or an escalation.
initial debugging of Python-based automation scripts. Fix minor logic bugs,
dependency issues, or data formatting errors in the codebase.
LLM outputs for quality. Perform minor adjustments to system prompts or
parameters (temperature, max tokens) to correct formatting or adherence issues
without retraining models.
in maintaining vector databases (Pinecone/Milvus). Handle re-indexing requests
and verify that semantic search results are retrieving relevant context
(checking for data staleness or embedding mismatches).
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