Job description
Inference Optimization Drive TTFT below 400ms for multi-step agent pipelines Streaming optimization: first token to user while sub-agents are still running KV cache strategy, prompt compression, dynamic context window management Multi-provider routing: model selection by latency, cost, and task type across OpenAI, Anthropic, Gemini, and open-weight models Agent Architecture Design and implement Plan-Execute-Synthesize pipelines that run sub-agents in parallel DAGs, not sequential chains Build rโฆ