AI Engineer responsible for developing AI solutions at a leading European software provider. Collaborates with teams to enhance client experiences and optimize internal processes.
Responsibilities
Development, implementation and optimization of AI agents and intelligent software components — from concept to go-live
Building AI-powered 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 current applications and systems
Evaluation and selection of suitable frameworks, APIs and models (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.) for different use cases
Support in architecture planning and integration of AI solutions into cloud environments and microservice architectures
Research and prototyping of new AI approaches (e.g., agent frameworks, LLM-based automations, data pipelines)
Requirements
1–3 years of practical experience with modern AI technologies
Solid knowledge of Python and frameworks such as LangChain, LlamaIndex, Haystack or similar AI agent libraries
Strong 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 platforms (e.g., AWS, Azure, GCP) and data pipelines
Initial hands-on experience 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-facing services
The chance to help shape AI agents and AI solutions from the ground up — from idea and selection of suitable programming languages, frameworks and tools to go-live
Collaboration in interdisciplinary teams composed of business units and existing development teams on a wide range of use cases across different business areas
An environment where initiative, willingness to learn and creativity are explicitly encouraged
Fast decision-making paths, a motivated team and room to implement your ideas directly
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