Description
The demo is the easy part. We build the AI that’s still running, and still useful, long after it. At Schuberg Philis, we see AI as an exciting and fast-evolving technology, but its real power lies in solving meaningful problems and creating lasting value.
As an AI Python Engineer in our central team, you’ll turn that potential into dependable products and services. Working alongside talented engineers, you’ll build the software capabilities behind retrieval systems, agentic workflows, knowledge platforms and AI-powered applications designed to thrive long after the demo is over. You’ll also help identify where AI can create real value, and understand the problem deeply enough to build the right solution.
Your work will be varied and impactful. One week, you might improve the quality of a Retrieval-Augmented Generation (RAG) platform using technologies such as OpenAI, Anthropic, LangGraph and vector search. The next, you could design Python services, build APIs, develop a knowledge assistant combining LLMs with Neo4j and GraphRAG, automate operational processes with agentic workflows, or shape the architecture of a new AI capability used across multiple teams.
What you will work on Improving the quality of RAG platforms using OpenAI, Anthropic, LangGraph and vector search Designing Python services and building APIs Developing knowledge assistants with Neo4j and GraphRAG techniques Automating operational processes using agentic workflows Building intelligent search that helps e
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