AI Engineer developing AI agents and intelligent software components for a top software solutions provider in retail and hospitality. Collaborating with teams to enhance user experiences and internal processes.
Responsibilities
Design, implementation and optimization of AI agents and intelligent software components — from concept through to go-live
Building AI-driven tools and platforms that improve internal processes, customer experiences, or knowledge management systems
Close collaboration with existing software development teams and business units to integrate AI components into existing applications and systems
Evaluating and selecting appropriate frameworks, APIs, and models (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.) for various use cases
Supporting architecture planning and the integration of AI solutions in cloud environments and microservice architectures
Researching and prototyping new AI approaches (e.g., agent frameworks, LLM-based automations, data pipelines)
Establishing AI within software development across the corporate group:
- Building an internal network and knowledge transfer around AI technologies
- Developing guidelines, best practices and training concepts for developer teams
- Supporting group companies in identifying and implementing AI-based use cases
Actively shaping the AI strategy and promoting an innovation-oriented engineering culture
Requirements
You have 1–3 years of practical experience with modern AI technologies and are passionate about making intelligent systems usable in real business contexts, not just experimenting with them.
Initial professional experience (1–3 years) in AI / Machine Learning / Data Engineering / Software Development
Strong knowledge of Python and of frameworks such as LangChain, LlamaIndex, Haystack, or similar AI-agent libraries
Very good programming skills in at least one language (e.g., .NET, JavaScript/TypeScript, Java, or C#)
Basic understanding of software architectures and interfaces (APIs, microservices, cloud environments)
Experience working with LLM APIs (OpenAI, Anthropic, Mistral, etc.) and integrating them into existing systems
Familiarity with API development, cloud environments (e.g., AWS, Azure, GCP), and data pipelines
Plus: practical experience in building AI agent platforms, e.g., for customer service, process automation, or knowledge management
Benefits
A dynamically growing, medium-sized software company focused on retail, hospitality, and consumer-oriented services
The opportunity to shape AI agents and AI solutions from the ground up — from the idea and selection of suitable programming languages, frameworks and tools to go-live
Collaboration in interdisciplinary teams made up of business units and existing development teams on a wide range of use cases across different business areas
An environment that explicitly welcomes initiative, willingness to learn, and creativity
Fast decision-making processes, a motivated team, and room to implement your ideas directly
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