Python Developer

GeekSoft Consulting; Utrecht; On-site; EUR 70,000 - 90,000; Full time

Job summary

GeekSoft Consulting is seeking a Python Developer to join our team in Utrecht, Netherlands. You will help design, build and continuously improve the client's online platform with a focus on AI-driven document analysis and robust system architecture.

You will research, implement and document new technology solutions, ensuring resiliency, scalability and data-residency compliance while collaborating closely with SMEs, data scientists and the engineering team to deliver high-quality, compliant

Qualifications

• Hands-on AI experience is mandatory.
• European citizenship is mandatory.
• Design provider-agnostic LLM interfaces and embeddings.
• Develop a full ingestion pipeline with PDF parsing, OCR fallback and section-aware chunking.

Responsibilities

• Help design, build and continuously improve the client’s online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for resilience and availability of different products.
• Be a productive member of the team.

Skills

Python

AI experience

Document processing

SME collaboration

Tools

LLMs

RAG

AI agents

Embeddings

Vector databases

Prompt engineering

LLM evaluation

Job description

GeekSoft Consulting | Fixed Term Employment

Python Developer

Utrecht, Netherlands | Posted on 09/11/2026

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Requirements

• AI Engineer responsible for building an AI-driven document analysis platform using LLMs, RAG architectures and multi-agent workflows.
• Design provider-agnostic LLM and embedding interfaces.
• Develop a complete ingestion pipeline with PDF parsing, OCR fallback, section-aware chunking, metadata tagging, embeddings and vector indexing.
• Implement a hybrid semantic-keyword retrieval engine.
• Build agents with strict input schemas and structured outputs.
• Ensure scalability, explainability and data-residency compliance.
• Create evaluation frameworks covering retrieval quality, classification accuracy, citation validity, reasoning and prompt performance.
• Hands-on AI experience is mandatory.
• Clearly specify AI frameworks, tools and technologies worked with in the CV, particularly LLMs, RAG, AI agents, embeddings, vector databases, prompt engineering and LLM evaluation.
• Strong Python, document processing, AI security/governance, technical documentation and SME collaboration skills.
• European citizenship is mandatory.
• A challenging, innovating environment.
• Opportunities for learning where needed.