AI-Enabled Solution Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project targets digital solutions for manufacturing and business operations with focus on analytics and AI. The stack includes .NET, C#, Blazor, ASP.NET Core, Entity Framework Core, TypeScript, SQL Server and Azure. Responsibilities cover developing and maintaining applications, defining architecture and integrations, building reporting and dashboards, creating a scalable data ecosystem and implementing AI use cases. Additional scope includes CI/CD, DevOps, monitoring, operational support, automation and mentoring with international collaboration.

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AI-Enabled Solution Engineer

Company: NORDZUCKER POLSKA S.A.

from: 12 November 2026
to: 12 December 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
Braunschweig, abroad (Germany)
Braunschweig, abroad (Germany)

Requirements

Expected technologies

.NET
C#
ASP.NET Core MVC
Entity Framework
TypeScript
SQL
Azure DevOps
Docker
Blazor
Azure Cosmos DB
REST APIs
Power BI

Optional technologies

PowerShell
Docker

Our requirements

  • 5+ years of experience developing and maintaining business applications on the Microsoft platform.
  • Strong knowledge of .NET, C#, Blazor, ASP.NET Core, Entity Framework Core, TypeScript, SQL Server and Azure.
  • Practical experience with AI-assisted development tools, automation and modern software engineering practices.
  • Good understanding of application architecture, cloud solutions, system integrations, APIs and DevOps.
  • Ability to analyse business processes and translate requirements into practical, secure and scalable digital solutions.
  • Independent and structured working style, combined with strong problem-solving and collaboration skills.
  • Strong communication skills and fluent English in an international working environment.

Your responsibilities

Business Solutions
  • Take ownership of and continuously improve reporting, dashboarding and analytics solutions used across multiple manufacturing sites.
  • Work closely with business stakeholders to understand needs, define requirements and deliver solutions with measurable value.
  • Drive digitalization initiatives and improve user experience across desktop and mobile platforms.
  • Application Development & Architecture
  • Design, build, test and maintain modern applications using Microsoft technologies and AI-enabled development practices.
  • Define application architecture, integration patterns, reusable components and technical standards.
  • Create secure and maintainable integrations between business systems, cloud services, databases and external APIs.
  • Evaluate new technologies and recommend solutions based on business value, technical fit and long-term maintainability.
  • Data & AI
  • Support the development of a scalable, governed and well-structured data ecosystem.
  • Enable AI-driven analytics and intelligent solutions by ensuring reliable access to high-quality business data.
  • Identify, assess and implement AI use cases that improve operational efficiency, automation and decision-making.
  • Apply responsible AI principles, data protection requirements and appropriate security controls.
  • Engineering & Operations
  • Own the software delivery lifecycle, including design, development, testing, code review, CI/CD, releases and operational support.
  • Improve engineering productivity through automation, DevOps practices, reusable solutions and AI-assisted development.
  • Monitor applications, troubleshoot incidents and coordinate corrective actions with internal and external teams.
  • Ensure the reliability, performance, security, scalability and maintainability of delivered solutions.
  • Collaboration & Knowledge Sharing
  • Collaborate with business teams, IT specialists, vendors and international colleagues throughout the solution lifecycle.
  • Promote modern engineering, cloud and AI practices within the development community.
  • Support colleagues through mentoring, technical guidance, documentation and knowledge-sharing sessions.
  • Role Purpose

    The AI-Enabled Solution Engineer designs, develops and supports modern digital solutions for manufacturing and business operations. The role combines software engineering, application architecture, data integration and AI-assisted development to deliver reliable, scalable and user-focused solutions.

    Preferred Technologies

    .NET | C# | ASP.NET Core | Blazor | TypeScript | Entity Framework Core | SQL Server | Azure | Azure DevOps | Docker | REST APIs | Power BI
    Company

    This is how we work

    AI-Enabled Solution Engineer
    I apply to:
    NORDZUCKER POLSKA S.A.
    Braunschweig, abroad (Germany)

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