AI Engineer

My responsibilities:

• Design, architect, and develop high-quality backend infrastructure for robust, scalable Generative AI (GenAI) and Agentic AI capabilities  

• Implement scalable (custom) SAP AI products utilizing the services from SAP BTP and other cloud services such as Azure to promote data-driven developments, efficiency, and business value  

• Design, build, and maintain efficient, reusable, and reliable code by contributing to product-oriented software delivery, ensuring scalability and resilience to failure  

• Deliver and drive high quality and best practices in our engineering community by discussing innovative solution approaches and suggestions for improvements within development teams  

The knowledge I own:

• 3–5 years of relevant experience in software development; knowledge of Node.js, TypeScript, SAP BTP, or Azure is a plus
• Strong proficiency in Python or similar languages, with experience using libraries such as LangChain, LlamaIndex, FastAPI, or Flask.
• Hands-on experience with GenAI solutions, including implementation of RAG approaches (chunking, retrieval, agentic, multimodal, graph-based), AI agent development, prompt engineering, and best practices.
• Familiarity with deployment technologies like Kubernetes, Docker, Cloud Foundry, or SAP Kyma is an advantage.
• Experience with UI5, Node.js runtime, and data/ML libraries (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Hugging Face Transformers) is a plus.
• Knowledge of JavaScript, SQL, and tools like Jupyter Notebooks is beneficial.
• Exposure to DevOps environments and/or CRISP-DM methodology is preferred.
• Excellent communication skills with the ability to explain complex topics clearly.
• Analytical, solution-oriented mindset with the ability to quickly understand complex challenges.
• Fluent English proficiency required.

The offer that would convince me:

• We develop and maintain our own product with high emphasis on quality and long-term stability
• Code quality matters: we follow Clean Code and SOLID principles backed by robust testing
• Flexible working hours and remote work options
• Competitive salary with regular adjustments based on inflation and loyalty
• Access to continuous learning via our internal learning platform and expert communities

Online application:

Please use our online application and attach your resume.

AIIS Adatkezelési tájékoztató

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