SAP Senior Developer f/m/d - SAP LeanIX 

Mexico, Nuevo León 

64015970

• Use state of the art GenAI models and techniques to solve real world problems, which were hard to solve previously.

• Work with Data at Scale: Leverage Databricks and Python to build robust data pipelines and analytics workflows that power AI-driven insights. Help shape the data foundation that enables intelligent architecture guidance.

• Focus on Performance: Build scalable, responsive, and accessible solutions to ensure smooth user experience and backend efficiency.

• Collaborate with Teams: Work closely with cross-functional teams, including Product Management, UI/UX, and other engineering teams, to deliver impactful, customer-centric solutions.

• Enhance Our Tech Stack: Participate in discussions on industry trends and support the evolution of our tech stack and best practices.

• Learn & Share: Grow your skills by collaborating with teammates and contributing to a culture of continuous learning and improvement.

• 4+ years of professional software engineering experience, preferable in backend development.

• Experience in building business applications using modern Generative AI.

• Advanced expertise in Python, with a strong background in developing and deploying LLM applications and AI-powered systems.

• A practical experience in Data Engineering, ideally using Databricks, dbt, or similar tools.

• Familiarity with REST API and GraphQL, designing data flow solutions at scale.

• You strive in agile environments, driving high-impact projects to completion while maintaining a focus on delivering high-quality, scalable code.

• Demonstrate strong collaboration skills, working seamlessly across teams and ensuring clear communication to achieve business and technical goals.

• English language skills, both written and spoken.

• Experience building AI Agents.

• Familiarity with machine learning frameworks (e.g., Promptflow, TensorFlow, PyTorch) and integrating AI/ML models into production systems.

• Experience with LLM fine-tuning and deploying custom AI models at scale.

• Hands-on experience with Docker, Kubernetes, and setting up GitHub CI/CD pipelines.

• Familiarity with Azure, or other cloud platforms for deploying and managing scalable backend applications.

AI Usage in the Recruitment Process

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Please note that any violation of these guidelines may result in disqualification from the hiring process.