Job
In this role, you develop complex software solutions with a clear focus on AI integration, collaborate closely with stakeholders, perform testing, and support teams with technical challenges in an international environment.
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Job technologies
Your role in the team
- As a Senior Expert Software Engineer AI (m/f/d), you will be responsible for the further development of software for highly complex products and services, taking into account comprehensive business requirements and implications throughout the entire development process (lifecycle).
- They build products and platforms with our global engineering team that are built once and scaled everywhere - with a clear focus on customer impact and reusability.
- AI First is not just a buzzword, but a working principle.
- Your main responsibilities also include:
- You work closely with stakeholders (e.g., Product Owner) in analyzing and implementing requirements and also provide consulting at management level.
- They create software solution designs as well as handle their documentation.
- You define standards for system testing/test automation and are responsible for the installation and configuration of software for complex products and services.
- They support team members during error analysis until the issue is resolved and also provide technical support for other teams for the products and services they oversee.
- You work closely with other teams in an international environment and lead projects of strategic relevance.
Our expectations of you
Qualifications
- They are characterized by detailed company-specific knowledge or exceptional specialized expertise as well as skills.
- Outstanding engineering skills in practice, including Python, JVM/Node with AI libraries, Container/K8s, CI/CD, Testing, Observability.
- Extensive AI tooling skills in LLMs in prompting, RAG, finetuning, embedding/vector DBs, evaluation, guardrails.
- Possible certifications (Azure AI Engineer, AWS AI Practitioner/ML, Google GenAI/Gemini).
- Very good German & English skills (DE/EN min. C1).
Experience
- Extensive hands-on experience in AI/ML Engineering or MLOps/Platform Engineering with proven productive deliveries.
- Practical experience in cloud platforms such as AWS/Azure/GCP, e.g., Bedrock/SageMaker, Azure AI Studio, Vertex AI, including security/networking basics.
- Experience with Data Fundamentals such as data models, feature pipelines, governance (PII, Model Cards), and cost awareness in application.
- Extensive experience with Agentic AI and frameworks such as Ray, LangChain/LlamaIndex, or Hugging Face; solid knowledge in the operational deployment of models (on-premises and in cloud environments) - including deployment, scaling, monitoring, and security.
What we offer
- This position is also available part-time.
- People with severe disabilities will be given priority if they are equally suitable.
Benefits
Work-Life-Integration
Health, fitness & fun
Higher take-home pay
Topics you will work on
Job locations
About your employer
We are paving the way for a Gigabit society: As one of the leading companies in communications and information technology, we are shaping the digital world of tomorrow with innovative solutions for private and business customers.
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
Employer reviews
- Working conditions
- 4.0
- Career growth
- 3.8
- Team culture
- 3.5
- Engineering
- 2.9
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