AI Software Engineer (Python, JavaScript & Microservices)
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Job description
We currently have a vacancy for an AI Software Engineer (Python, JavaScript & Microservices), fluent in English, to offer his/her services as an expert who will be based in Maastricht, Netherlands. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.
Your tasks
- Contribute to the continued development and maintenance of a system composed of multiple technologies;
- Implement the backbone server and image storage, and further developing the AI components for contrail detection and flight attribution;
- Support the transition from AI-assisted to AI-generated software development and lead by example;
- Drafting high-quality technical documentation and communication, including specifications, design notes, test descriptions, and user or operational documentation,
- Microservices deployment on platforms;
- Ensure developed solutions comply with operational, safety and quality standards.
Requirements
Do you have experience in Vue.js?, Do you have a Master’s degree?, * Bachelor’s degree in computer science or information technology, with a focus on Software Engineering, combined with minimum 6 years of relevant working experience in IT;
- Practical experience with modern web UI development, microservices and container platforms;
- Experience with Python programming and key libraries, neural networks, image segmentation;
- Experience with AI-assisted development, agentic approaches, and hands-on familiarity with cloud and data science environments;
- Minimum 1 year experience with Web UI development using Vue, React, or Angular;
- Minimum 1 year experience with Node.js development;
- Minimum 1 year experience with Microservices / container platforms, such as OpenShift, Docker, or equivalent;
- Minimum 1 year experience with Python-based services, e.g. Pandas, FastAPI, Polars, NumPy, Flask;
- Minimum 1 year experience with Data platforms / cloud environments, preferably Azure;
- Minimum 1 year experience with Data Lakehouse technologies, preferably Databricks;
- Minimum 1 year experience with drafting high-quality technical documentation and communication, including specifications, design notes, test descriptions, and user or operational documentation, using tools such as Confluence and Jira;
- Minimum 1 year experience with ATM will be considered an advantage;
- Minimum 1 year experience with CI/CD pipelines and tooling, e.g. Git, Jenkins, SonarQube will be an asset;
- Minimum 1 year experience with Machine learning frameworks, preferably PyTorch (or TensorFlow) will be an asset;
- Minimum 1 year experience with Neural network image segmentation will be an asset;
- Minimum 1 year experience with LLM-supported software development, e.g. Claude (Code), GitHub Copilot (CLI), Antigravity, or equivalent will be an asset;
- Excellent command of the English language.
Benefits & conditions
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
About the company
EUROPEAN DYNAMICS (ED) (www.eurodyn.com) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
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