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 Stack

Python

LangChain

AutoGen

Pinecone

Core Responsibilities

• Design 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 Profile

You 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.

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