LLM Orchestration Engineer

At DataSirpi, we aren't just using AI; we're orchestrating it. As an LLM Orchestration Engineer, you will be the lead architect behind our agentic infrastructure, designing systems where multiple AI agents collaborate to solve high-stakes enterprise problems.You'll move beyond simple prompt engineering into the realm of semantic memory, recursive reasoning loops, and multi-tool integration, ensuring our "DataSirpi Agents" are both powerful and predictable.Technical StackPythonLangChainAutoGenPineconeCore ResponsibilitiesDesign and implement scalable agentic architectures using AutoGen and custom LangGraph implementations.Optimize RAG (Retrieval-Augmented Generation) pipelines for low-latency and high-relevance responses across massive datasets.Develop robust evaluation frameworks to measure LLM reliability, safety, and hallucination rates in production.Collaborate with Product and Data Engineering teams to bridge the gap between unstructured LLM outputs and structured business intelligence.The ProfileYou are a software engineer first, and an AI enthusiast second. You understand that "Agentic AI" is as much about traditional software engineering principles (testing, modularity, monitoring) as it is about neural networks. #J-18808-Ljbffr