AI Developer – Agentic & Generative AI, Digital, Data & IT (DDI)

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Ballerup, Hovedstaden, DNK
Remote or Hybrid
Entry level
Gaming • Appliances
The Role
Design, build, deploy, and improve multi-step autonomous agents, generative AI tools, retrieval systems, machine-learning pipelines, and evaluation frameworks. Collaborate with engineering, data, and business teams to translate use cases into scalable, self-service AI capabilities. Assess emerging AI frameworks and open-source tools while managing solutions from concept through production deployment and ongoing monitoring.
Summary Generated by Built In

Help shape GN’s next generation of intelligent solutions through Agentic and Generative AI. In this role, you will turn emerging AI capabilities into scalable, practical tools that support colleagues and enhance workflows across GN.

In the role of AI Developer in the Digital Incubation & AI team, you will design, build, and deploy multi-step autonomous agents, generative AI tools, and intelligent systems.

The Team you will be part of:
You will join the Digital Incubation & AI team, a dedicated group advancing GN’s enterprise AI and agentic delivery capabilities. We turn emerging concepts into reliable, production-ready solutions that create tangible value across the organisation.

Our culture is built on curiosity, mutual support, and close collaboration. We share knowledge openly, learn continuously, value quality outcomes, and create space for every perspective and idea.
 

Your contribution is appreciated, and you will:

  • Design and implement multi-step agentic workflows, autonomous systems, and generative AI solutions integrated with business tools and platforms
  • Develop and optimise machine-learning pipelines, retrieval systems, and evaluation frameworks that support reliable and responsible AI use
  • Partner with engineering, data, and business teams to translate use cases into practical capabilities and self-service solutions
  • Explore and assess emerging AI frameworks, architectures, and open-source tools to inform GN’s AI development
  • Take ownership of solutions from early concept through deployment and ongoing improvement
     

To perform well in the role, we imagine that you:

  • Bring an educational background in computer science, software engineering, machine learning, data science, or a related field—or equivalent practical experience
  • Have solid Python development skills and experience building with modern AI/LLM orchestration frameworks and agentic architectures
  • Bring knowledge of machine learning, model evaluation, retrieval techniques, data workflows, and generative AI methods
  • Work well with others, communicate clearly across technical and business audiences, and enjoy solving new problems
  • Take a structured approach to delivering solutions and are willing to learn in a changing environment
     

It is beneficial to have experience with cloud environments such as Azure, integration interfaces and protocols such as Model Context Protocol (MCP), CI/CD workflows, and LLMOps/MLOps practices for lifecycle management and monitoring.
 

We encourage you to apply
Even if you don’t match all the above-mentioned skills, we welcome your application if you think you have transferable skills. We highly value a mindset and motivation that align with our core values, to not only ensure growth for you, but for your team and the wider GN organization as well.
 

We are focused on an inclusive recruitment process
All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process.
 

Should you have any special requirements for the interview, please let the Hiring Manager know upon accepting the invitation to the interview.

How to apply?
Use the ‘APPLY’ link no later than 25 September 2026. Applications are assessed continuously, so don’t wait to send yours.

On a time crunch? Feel free to only submit your up-to-date CV, including a few sentences outlining your motivation for applying – quick and easy.

Join us in bringing people closer
GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss to overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users.

GN Store Nord A/S has entered into a definitive agreement for the sale of GN’s Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement here.

We hope you will join us on this journey and look forward to receiving your application.

#LI-GNGroup

#LI-Hybrid

Skills Required

  • Educational background in computer science, software engineering, machine learning, data science, or a related field, or equivalent practical experience
  • Solid Python development skills
  • Experience building with modern AI or LLM orchestration frameworks and agentic architectures
  • Knowledge of machine learning, model evaluation, retrieval techniques, data workflows, and generative AI methods
  • Strong collaboration and communication skills across technical and business audiences
  • Structured approach to delivering solutions and willingness to learn in a changing environment
  • Experience with Azure or other cloud environments
  • Experience with Model Context Protocol and integration interfaces or protocols
  • Experience with CI/CD workflows
  • Experience with LLMOps or MLOps lifecycle management and monitoring

GN Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GN Group and has not been reviewed or approved by GN Group.

  • Fair & Transparent Compensation Pay is considered fair to good in many roles, with salaried positions often called out as strong relative to expectations.
  • Healthcare Strength Medical, dental, vision, life, and disability coverage are described as comprehensive with generous employer contributions in several regions.
  • Retirement Support Pension schemes, particularly in Denmark with partners like Velliv, are highlighted as competitive and integral to total rewards.

GN Group Insights

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The Company
HQ: Istanbul
6,649 Employees

What We Do

GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts. GN was founded more than 150 years ago with a vision to connect the world. Today, inspired by our strong heritage, GN touches more lives than ever with our unique expertise and the broadest portfolio of products and services in our history – bringing people closer to what is important to them. We market our solutions with the brands Jabra, ReSound, SteelSeries, Beltone, Interton, BlueParrott, Danavox, and FalCom in 100 countries. Founded in 1869, GN Group employs more than 7,500 people and is listed on Nasdaq Copenhagen (GN.CO). Visit our homepage GN.com and connect with us on LinkedIn, Facebook, and Twitter.

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