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Software Engineer - .NET AI

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Hybrid

Software Engineer - .NET AI

Deloitte

Software Engineer - .NET AI

Skills

C#AIAzure

2 months ago

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Important information


Contract type:

Part time

Location:

Utrecht, Netherlands

Work mode:

Hybrid

Published on:

24 August 2026

What they need


This job in a nutshell

Are you passionate about software engineering and AI? Join our innovative team and help us build AI-powered applications that solve real-world challenges for tax and legal professionals. At Deloitte. Benefits

  • You’ll receive a profit-sharing bonus, on top of your fixed salary.
  • Continuous professional growth. Join our development program.
  • A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation and internet allowance.
  • Work part-time (32 hours a week) or full-time (40 hours a week).
  • Flexible and hybrid working, in accordance with team and client commitments.
  • 26 days of paid annual leave, and the opportunity to purchase additional leave.
  • A good mobility scheme: the choice of various options such as a lease car, travel by public transport, a cash option or a combination of these.
  • A laptop and iPhone. The iPhone can also be used for personal purposes.
  • A time for time arrangement that creates flexibility for personal moments that matter.
  • A good pension scheme with a personal contribution of only 2%.
  • An opportunity to take part in our collective health insurance scheme.
  • An opportunity to benefit from tax-efficient facilities such as company fitness, a bicycle scheme or the opportunity to lease a bicycle.
  • The opportunity to use 55 hours of babysitting service per calendar year if your child is 12 years old or younger.
  • A flexible budget, which you can use to make choices in flexible benefits, for example purchasing extra leave days or financing a bicycle plan.
  • Various leave options tailored to meet your individual needs, from parental leave (also for rainbow families) to the flexibility of exchanging three national holidays for non-national holidays.

Be the true you

We are looking for someone who is a quick and creative thinker and is teeming with ideas. If you can quickly turn an idea into a prototype, and then a successful prototype into a system, we are looking for you. You need the following qualifications for the position of .NET AI Software Engineer:

  • strong object-oriented programming skills and hands-on experience with C# and .NET
  • solid software engineering experience, including APIs, databases, automated testing, code reviews, and Agile/Scrum delivery
  • practical experience integrating AI capabilities into software products, such as LLMs, Azure AI services, RAG, or prompt-based workflows
  • experience building secure, scalable, and maintainable applications using cloud platforms, CI/CD pipelines, and DevOps practices
  • the ability to communicate clearly with technical and non-technical stakeholders and turn business needs into pragmatic engineering solutions

What impact will you make?

You will join a global team that is developing the frontiers of AI and turning promising ideas into practical solutions used by Tax & Legal professionals across the world.

Together with engineers, AI specialists, and domain experts, you will help shape how emerging technologies are applied responsibly in a complex, highly regulated environment. Your work will accelerate innovation, improve the way tax and legal professionals serve their clients.

How do you do this?

  • collaborate with an international team of engineers, AI specialists, and business stakeholders to deliver practical solutions for tax and legal professionals
  • translate new ideas into working prototypes that demonstrate how emerging technologies can create business value
  • develop prototypes into well-tested, reliable, secure, and performant C#/.NET software systems
  • integrate AI capabilities, APIs, data sources, and enterprise platforms into scalable software applications
  • maintain high code quality through automated testing, peer reviews, documentation, and continuous improvement of development practices
  • monitor, troubleshoot, and improve production solutions to ensure stability, usability, and long-term maintainability

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