AI Python Engineer

Schuberg Philis; Haarlemmermeer; On-site; EUR 70,000 - 110,000; Full time

Job summary

Schuberg Philis seeks an AI Python Engineer to turn AI potential into dependable products and services. You’ll build software behind retrieval systems, agentic workflows, knowledge platforms and AI-powered applications designed to thrive beyond the demo.

You’ll work on Python services, APIs, and knowledge assistants using Neo4j and GraphRAG, with a focus on reliability, observability and production readiness within a Netherlands-based team at Schiphol-Rijk.

Qualifications

• Several years of solid experience building production-grade software with Python.
• Experience with Generative AI, LLMs, RAG, agentic workflows, LangGraph, LangChain, Neo4j, GraphRAG or semantic search beyond demos.
• Ability to design systems and take responsibility for how they behave in production.
• Comfort switching between architecture discussions and hands-on implementation.
• Based in the Netherlands.

Responsibilities

• Improve RAG platforms using OpenAI, Anthropic, LangGraph and vector search.
• Design Python services and build APIs.
• Develop knowledge assistants with Neo4j and GraphRAG techniques.
• Automate operational processes with agentic workflows.
• Build intelligent search that helps engineers find answers across documents and systems.
• Shape the architecture of new AI capabilities used across multiple teams.

Skills

Python

Architecting systems

Production-grade software

Observability

Testing

Ownership

Tools

LangGraph

LangChain

Neo4j

GraphRAG

OpenAI

Anthropic

Vector search

Job description

TBD - New opening Schiphol-Rijk 32-40 uur

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 engineers find answers across thousands of documents and systems
• Shaping the architecture of new AI capabilities used across multiple teams

Here, building and running go hand in hand. The engineers making the decisions are also the engineers carrying the pager. That shared ownership makes operational excellence, observability and reliability every bit as important as elegant code, and you’ll own your solutions from design to production, learning from real-world feedback and continuously improving what you’ve built.

You’ll join a team that celebrates engineering craftsmanship, autonomy and curiosity. We want you to challenge ideas, make bold but thoughtful decisions, and continuously improve both our technology and the way we work.

We’d love to meet you if

You’re first and foremost a software engineer who happens to be interested in AI. You enjoy understanding the problem before jumping to the solution, and you take pride in seeing your systems perform reliably in production.

• You have several years of solid experience building production-grade software with Python
• You’ve worked with Generative AI, LLMs, RAG, agentic workflows, LangGraph, LangChain, Neo4j, GraphRAG or semantic search, beyond side projects and demos
• You enjoy designing systems and taking responsibility for how they behave in production
• You naturally switch between architecture discussions and hands-on implementation
• You can turn ambiguity into a practical engineering approach
• You have strong opinions about software quality, testing and maintainability
• You’re interested in both technology and the business context it serves
• You like owning outcomes, not tickets, from idea to production and beyond
• You are currently based in the Netherlands.