C# Software Engineer – Digital Innovation & AI

Start Date: May 2026

Duration: 1 year 

Job Summary:

We are looking for a motivated C# developer to join the Accelerator team, contributing to the design and development of forward-thinking software solutions that modernize and transform business operations. You will engage in highly varied innovation projects, often involving emerging technologies such as AI. In this role, you will collaborate closely with product owners, architects, and domain experts to turn ideas into scalable applications.

Key Responsibilities:

• End-to-End Software Development: Design, build, and maintain high-quality C#/.NET applications supporting innovation projects. Develop new features, improve existing components, and ensure performance, reliability, and scalability.

• AI-Driven Solution Engineering: Work with emerging AI technologies, such as LLMs, computer vision, and intelligent automation, to create smart, data-driven prototypes and applications. Integrate AI capabilities into existing workflows and explore new technologies for added value.
• Architecture & Technical Design: Contribute to solution architecture discussions, evaluate technology choices, and define modern patterns and best practices. Ensure prototypes are technically sound and scalable.
• Cross-Functional Collaboration: Collaborate with product owners, 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.

Skills & Expertise:

• Strong proficiency in .NET C#.

• Experience with REST APIs, microservices, and integration patterns.
• Knowledge of Azure and containerized environments (Docker/Kubernetes).
• Familiarity with AI technologies, such as LLMs, embeddings, and vector databases, is a plus.
• Experience with the Blazor frontend framework is a plus.
• Understanding of software architecture principles, design patterns, and clean code practices.
• Experience with CI/CD pipelines, Git, and DevOps workflows.