The AI Job Search Engine
AI Engineer(m/w/x)
Architecting digital ecosystems, shaping data and content orchestration layers with LLM frameworks. 5+ years in software development or systems design, with cloud platform experience (Azure, AWS, GCP) essential. 30 days vacation at developer of customer-centric AI solutions.
Requirements
- Degree in Computer Science, Information Technology, Engineering, or related field
- 5+ years of experience in software development, systems design, or technical leadership
- Proven experience designing solutions across cloud platforms (Azure, AWS, or GCP)
- Experience with frontend frameworks (React, Next.js, Vue) and backend API development (PHP, Node.js, Python)
- Knowledge of LLM frameworks (LangChain, LangGraph, MCP, A2A, Bedrock) and content systems integration
- Experience integrating visual AI and creative technologies into marketing and content workflows
- Strong understanding of microservices, API design, integration patterns, and event-driven architectures
- Ability to simplify complex technical systems into clear architectural documentation
- Solid knowledge of security best practices, data modeling, and system performance optimization
- Hands-on experience with DevOps tools (CI/CD pipelines, containerization, IaC with Terraform or ARM)
- Curiosity for creative technology and architecture as an enabler of storytelling and innovation
- Ability to lead, motivate and develop interdisciplinary teams in innovative projects
- Very good German and English language levels (C1+)
- Experience with IBM watsonx / Watson AI or enterprise-grade AI integration
Tasks
- Architect end-to-end digital ecosystems
- Collaborate with stakeholders to clarify requirements
- Define overall system architecture
- Shape data and content orchestration layers
- Work with AI, Backend, Frontend, and DevOps teams
- Create architecture documentation and diagrams
- Design integration interfaces and pipelines for GenAI models
- Guide teams on security and deployment best practices
- Transfer knowledge through training and workshops
- Evaluate emerging technologies and recommend adoption strategies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure
- AWS
- GCP
- React
- Next.js
- Vue
- PHP
- Node.js
- Python
- LangChain
- LangGraph
- MCP
- A2A
- Bedrock
- CI/CD pipelines
- Terraform
- ARM
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 days vacation per year
Informal Culture
- Welcoming teams
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AI Engineer(m/w/x)
Architecting digital ecosystems, shaping data and content orchestration layers with LLM frameworks. 5+ years in software development or systems design, with cloud platform experience (Azure, AWS, GCP) essential. 30 days vacation at developer of customer-centric AI solutions.
Requirements
- Degree in Computer Science, Information Technology, Engineering, or related field
- 5+ years of experience in software development, systems design, or technical leadership
- Proven experience designing solutions across cloud platforms (Azure, AWS, or GCP)
- Experience with frontend frameworks (React, Next.js, Vue) and backend API development (PHP, Node.js, Python)
- Knowledge of LLM frameworks (LangChain, LangGraph, MCP, A2A, Bedrock) and content systems integration
- Experience integrating visual AI and creative technologies into marketing and content workflows
- Strong understanding of microservices, API design, integration patterns, and event-driven architectures
- Ability to simplify complex technical systems into clear architectural documentation
- Solid knowledge of security best practices, data modeling, and system performance optimization
- Hands-on experience with DevOps tools (CI/CD pipelines, containerization, IaC with Terraform or ARM)
- Curiosity for creative technology and architecture as an enabler of storytelling and innovation
- Ability to lead, motivate and develop interdisciplinary teams in innovative projects
- Very good German and English language levels (C1+)
- Experience with IBM watsonx / Watson AI or enterprise-grade AI integration
Tasks
- Architect end-to-end digital ecosystems
- Collaborate with stakeholders to clarify requirements
- Define overall system architecture
- Shape data and content orchestration layers
- Work with AI, Backend, Frontend, and DevOps teams
- Create architecture documentation and diagrams
- Design integration interfaces and pipelines for GenAI models
- Guide teams on security and deployment best practices
- Transfer knowledge through training and workshops
- Evaluate emerging technologies and recommend adoption strategies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure
- AWS
- GCP
- React
- Next.js
- Vue
- PHP
- Node.js
- Python
- LangChain
- LangGraph
- MCP
- A2A
- Bedrock
- CI/CD pipelines
- Terraform
- ARM
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 days vacation per year
Informal Culture
- Welcoming teams
About the Company
WongDoody
Industry
IT
Description
The company develops customer-centric solutions at the intersection of creativity, technology, and artificial intelligence.
Not a perfect match?
- MaibornWolff GmbH
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