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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LLM Orchestration Engineer in London employer: Datasirpi Pvt. Ltd.
DataSirpi is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for LLM Orchestration Architects to thrive. With a strong emphasis on employee growth, we offer continuous learning opportunities in cutting-edge AI technologies, alongside a supportive work environment that values creativity and teamwork. Located in a vibrant tech hub, our team enjoys access to industry events and networking opportunities, enhancing both personal and professional development.
