(Medior) Consultant AI Software Engineer (C#.NET)

AETHER

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profile Job Location:

Brussels - Belgium

profile Monthly Salary: Not Disclosed
Posted on: 21 hours ago
Vacancies: 1 Vacancy

Job Summary

CONTEXT:

One challenge in public infrastructure operations is that when AI solutions for critical business processes are not engineered and embedded with sufficient robustness innovation efforts remain confined to experimentation and fail to generate durable operational value.

> We therefore invite you to collaborate with AETHER as a Consultant AI Software Engineer (C#/.NET).

JOB DESCRIPTION:

Our service is to provide assistance through a Consultant in the context of a confidential client pursuing digital transformation through an innovation hub where multidisciplinary teams design test and scale digital solutions including AI-driven applications within a demanding infrastructure environment.

The Key responsibilities expected from our on-site delegate might include:

- Collaborate closely with product owners architects and domain experts to transform ideas into scalable applications.
- Collaborate closely with business experts data specialists business analysts and other developers to convert business challenges into digital concepts.
- Participate in workshops co-creation sessions and technical reviews to ensure shared understanding and alignment.
- Contribute to solution architecture discussions.
- Evaluate technology choices.
- Ensure that prototypes are technically sound and capable of evolving into scalable maintainable solutions when required.
- Design build and maintain high-quality C#/.NET applications supporting innovation projects.
- Develop new features.
- Improve existing components.
- Ensure performance reliability and scalability across solutions.
- Work with emerging AI technologies such as LLMs computer vision and intelligent automation to create smart data-driven prototypes and applications including AI agents and GenAI solutions.
- Develop these solutions across diverse environments such as cloud and on-premises using appropriate programming languages such as Python and C#.
- Help integrate AI capabilities into existing workflows.
- Explore how new technologies can create value.
- Help define modern patterns and best practices.

Profile:
- Proven experience in developing generative AI and agentic AI solutions.
- Strong command development with solid proficiency in C#.
- Appreciation for collaboration and technical knowledge sharing while being able to work autonomously.
- Experience with REST APIs microservices and integration patterns.
- Knowledge of Azure and containerized environments such as Docker and Kubernetes.
- Familiarity with AI technologies such as LLMs embeddings and vector databases is a plus.
- Experience with the Blazor frontend framework is a plus.
- Good understanding of software architecture principles design patterns and clean code practices.
- Experience with CI/CD pipelines Git and DevOps workflows.
- An entrepreneurial experience or ambition is a plus (extra-professional or extra-academic as well).
- Immediate availability is preferred.
- Valid single permit for non-EU citizens.

Success in industry often depends on key individuals demonstrating intrapreneurial leadership meaning they continuously launch new initiatives and pursue excellence.

The best way to develop this strength is through ad interim projects meaning working with established intrapreneurs in international companies to support their major expansion or improvement initiatives in governance studies or operations.

Since 2014 AETHER has been managing these opportunities for outstanding consultants in key international groups as they offer stronger learning opportunities with multi-million impacts:
- Public Infrastructures
- Process Manufacturing
- Component & System Technologies

Please share your CV and we will assess whether this opportunity is currently the best fit for your career as a consultant.

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CONTEXT:One challenge in public infrastructure operations is that when AI solutions for critical business processes are not engineered and embedded with sufficient robustness innovation efforts remain confined to experimentation and fail to generate durable operational value.> We therefore invite yo...
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