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.

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

Please use our online application and attach your resume.

This job is found at InterviewStack.io

flaskgenerative aiazurescalabilitynode.jstypescriptpythonlangchainfastapiragkubernetesdockerpandasnumpytransformersjavascriptsqlprompt engineering

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