Ai 可观测系统研发工程师

北京、上海

CNY 180K-300K (estimate) Mid-level Full Time

@ M...

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Found 2h ago

Tasks

Build AI observability platform
Build observability for LLM inference
Build observability for LLM training
Build observability for agent runtime execution traces
Collect process store and query metrics logs traces events
Develop anomaly detection alerting and root cause analysis
Diagnose prefill decode scheduling and resource contention
Diagnose training hang slow rank hardware network storage and checkpoint issues
Integrate job pod process rank node and GPU identifiers
Measure TTFT TPOT queue latency throughput KV cache and token metrics
Measure task success tool success retry and token cost
Quantify training progress effective compute and retry wait loss
Track tool subprocess agent memory and knowledge base access

Perks/Benefits

Skills/Tech-stack

Education

Bachelor of Engineering | Bachelor of Science

Roles

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Ai 可观测系统研发工程师

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