Senior AI Python Developer

OMP Belgium; Town of Belgium (WI); Hybrid; EUR 70,000 - 100,000; Full time

Job summary

OMP Belgium is seeking a Senior Python Software Engineer to design and build AI-powered solutions from concept to production. You will enable AI adoption across the organization, delivering practical guidance and hands-on collaboration for rapid, reliable software.

You will prototype AI features, develop production-grade Python applications with LLMs, RAG, and APIs, and evolve concepts into robust software while maintaining high quality and observability.

Qualifications

• No formal education items stated in the ad.

Responsibilities

• Prototype AI-powered features and developer tools to validate needs, feasibility and business value.
• Develop production-grade Python apps integrating LLMs, RAG, AI agents, APIs and enterprise data sources.
• Turn prototypes into secure, scalable, maintainable, observable, and well-tested solutions.
• Introduce AI-assisted practices, reusable workflows and guidance to boost productivity and software quality.
• Coach and collaborate with developers via demos, pairing and knowledge sharing.
• Evaluate emerging AI technologies, identify risks early and contribute to strong design standards.

Skills

Python

AI development

LLMs

APIs

Software engineering

Prototyping

Job description

As a Senior Python Software Engineer, you design and build AI-powered solutions, from early experimentation to production-ready implementation. You combine rapid learning and pragmatic delivery with solid engineering practices to quickly turn ideas into working prototypes, validate their value, and evolve the strongest concepts into robust software. At the same time, you help to accelerate AI adoption across our organization and use practical guidance, reusable approaches, and hands-on collaboration to enable OMP development teams to adopt AI-assisted development approaches confidently and responsibly.

You are responsible for:

• Prototyping AI-powered features and developer tools to validate user needs, technical feasibility, and business value.
• Developing production-grade Python applications and services that integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, APIs, and enterprise data sources.
• Turning successful prototypes into secure, scalable, maintainable, observable, and well-tested solutions.
• Introducing AI-assisted development practices, reusable workflows, and practical guidance that improve developer productivity and software quality.
• Coaching and collaborating with developers through demonstrations, pairing, knowledge sharing, and hands-on experimentation.
• Evaluating emerging AI technologies pragmatically, identifying risks early, and contributing to sound technical design and engineering standards.