Senior Generative AI Engineer

We are seeking a Senior Generative AI Engineer to design, develop, and deploy AI-powered solutions that automate and optimize incentive management or controlling processes. In this role, you will build intelligent agents that analyze financial and operational data, validate business rules, identify anomalies and optimization opportunities, and support planning, forecasting, and decision-making through automated workflows and actionable insights.

Responsibilities

• Design and deploy AI-powered solutions that automate and optimize incentive management or controlling processes
• Build intelligent agents to analyze financial and operational data and validate business rules
• Identify anomalies and optimization opportunities within financial and operational datasets
• Support planning, forecasting, and decision-making through automated workflows and actionable insights
• Mentor junior colleagues and collaborate with cross-domain teams, including platform and data engineering
• Communicate with stakeholders to align AI solutions with business needs
• Implement CI/CD and MLOps pipelines in cloud environments
• Develop backend services and microservices to support AI model deployment
• Apply Agile and SAFe methodologies within collaborative engineering practices

Requirements

• 5+ years of experience in AI/ML engineering, with advanced coding skills in Python (preferred) or Java, and a solid understanding of software engineering principles
• Experience with multi-agent or generative AI frameworks such as LangChain and CrewAI
• Background in NLP foundations, including model training and deployment
• Experience with backend frameworks such as FastAPI, Flask, or Django, and microservice architectures
• Familiarity with containerization and orchestration tools such as Docker, Kubernetes, and GitHub Actions, along with MLflow
• Experience implementing CI/CD and MLOps pipelines in cloud environments such as Azure ML, Databricks, or AWS
• Hands-on experience with data ETL, APIs, and model deployment workflows
• Knowledge of distributed systems and data platforms for big data
• Understanding of Agile and SAFe methodologies and collaborative engineering practices
• Fluent English and a proactive, problem-solving mindset

Nice to have

• Knowledge of ML/AI methodology and AI architectures
• Background in Data Science
• Familiarity with SAP AI Core and SAP BTP
• Experience with agile frameworks such as Scrum and SAFe, and project management tools such as Jira