AI Engineer (M/W)

AI Model Development & Deployment

• Design, develop, and optimize AI models (LLMs, RAG systems, agents) to solve business challenges
• Implement data preprocessing pipelines and feature engineering for AI applications
• Train, fine-tune, and evaluate models ensuring performance, accuracy, and reliability
• Deploy AI models into production environments with robust monitoring and observability

System Integration & Scalability

• Integrate AI capabilities (assistants, RAG, tools, workflows) into existing platforms and systems
• Build scalable AI infrastructure leveraging cloud platforms and MLOps best practices
• Optimize model performance, latency, and cost-efficiency for enterprise-scale deployment
• Implement AI orchestration frameworks for multi-agent systems and autonomous workflows

Collaboration & Innovation

• Participate in Agentic AI Factory rituals and contribute to technical roadmap
• Collaborate with AI Product Managers, Full Stack Engineers, and business stakeholders to translate requirements into AI solutions
• Stay current with emerging AI technologies, frameworks, and best practices
• Contribute to building reusable AI assets and capabilities

Quality & Governance

• Ensure AI systems meet security, privacy, and compliance requirements
• Implement testing strategies, model validation, and quality assurance processes
• Document AI architectures, models, and deployment procedures
• Monitor AI system performance and iterate based on usage metrics and feedback

Do you have experience in TensorFlow?, * 3+ years of AI/ML engineering experience with proven track record of deploying production AI systems

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face)
• Deep understanding of machine learning algorithms, deep learning architectures, and model optimization techniques
• Experience with LLMs and Agentic AI - hands-on work with OpenAI, Anthropic, Azure OpenAI, or open-source models
• Expertise in RAG architectures and vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
• MLOps/LLMOps proficiency - model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML
• Cloud platforms experience (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

AI Platform & Tools:

• Experience with AI orchestration frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar)
• Knowledge of prompt engineering, fine-tuning, and model evaluation techniques
• Familiarity with data engineering tools (Databricks, Spark, Airflow) and data pipelines
• Understanding of AI observability and monitoring tools (LangChain, LangFuse, DataDog)

Soft Skills:

• Passion for Agentic AI, AI agents, and their practical application to automate workflows and enable autonomous decision-making 2026_job_desc_aaif.docx
• Proactive, curious, and able to move fast in an ambiguous, changing environment
• Strong in communication and organization, able to prioritize tasks and re-prioritize constantly
• Problem-solving mindset - able to translate business challenges into technical AI solutions

Hands-on coding experience with at least one language (Python preferred)

Languages:

• Fluent spoken and written English; Spanish or Portuguese is a plus

Nice-to-Have

• Experience with enterprise platforms & governance frameworks
• Knowledge of reinforcement learning, multi-agent systems, and autonomous AI architectures
• Familiarity with model compression, quantization, and edge AI deployment
• Experience with AI safety, red teaming, and responsible AI practices
• Background in NLP, computer vision, or specialized AI domains
• Previous work in consulting, product companies, or fast-paced startup environments
• Vibe-coding - ability to rapidly prototype and iterate with AI-assisted development tools

Edenred begleitet mit seiner führenden digitalen Plattformtechnologie für Services und Zahlungsdienste täglich Menschen in 46 Ländern weltweit bei ihrer Arbeit. Edenred vernetzt so 50 Millionen Arbeitnehmer seiner 900.000 Kundenunternehmen mit zwei Millionen kooperierenden Handelspartnern.

Edenred bietet zweckorientierte Bezahllösungen für Food (z.B. Essensgutscheine), Incentives (z.B. Gutscheinkarten, Mitarbeiter-Benefit-Portale),  Mobilität (z.B. Multi-Energie-, Wartungs-, Maut-, Park- und Pendlerlösungen) und Payment Solutions für Unternehmen (z.B. virtuelle Bezahlräume).

Getreu dem Ziel der Gruppe: "Verbindungen bereichern. Für immer." erhöhen diese Angebote den Wohlfühlfaktor der Mitarbeiter im Unternehmen und auch ihre Kaufkraft. Sie steigern die Attraktivität und Effizienz der Unternehmen und beleben den Mitarbeitermarkt sowie die lokale Wirtschaft. Sie fördern zudem auch den Zugang zu gesünderen Lebensmitteln, umweltfreundlicheren Produkten und einer sanfteren Mobilität.

Alle 10.000 Mitarbeiter von Edenred haben sich zum Ziel gesetzt, die Arbeitswelt zu einem miteinander verflochtenen Ökosystem zu machen, welches sicherer, effizienter und anwenderfreundlicher ist.

Im Jahr 2021 erzielte die Gruppe mit ihrem weltumspannenden Technologiesystem ein Geschäftsvolumen von fast 30 Milliarden Euro. Dies wurde hauptsächlich mittels mobiler Anwendungen, Online-Plattformen und Gutscheinkarten erreicht.

Edenred ist an der Pariser Börse Euronext notiert und geht in die Berechnung der folgenden Indizes ein: CAC Next 20, CAC Large 60, Euronext 100, FTSE4Good and MSCI Europe.