Description du poste
We are looking for a Conversational AI Engineer / AI Platform Developer to join a global Data & AI organization responsible for delivering scalable, secure, and cloud-native AI solutions.
The role will focus on the development, administration, onboarding, and support of a Conversational AI Platform that enables business teams to rapidly deploy AI-powered assistants and Retrieval-Augmented Generation (RAG) solutions across multiple countries and use cases.
This is an excellent opportunity for a professional passionate about Artificial Intelligence, Generative AI, Data Engineering, APIs, and Cloud technologies, who wants to work in an international environment at the forefront of AI innovation.
The successful candidate will collaborate closely with Product Owners, Tech Leads, Business Analysts, Data Scientists, DevOps, MLOps, Security, and Engineering teams to deliver robust and scalable AI solutions while ensuring operational excellence and continuous improvement.
Key Responsibilities
Conversational AI Platform Development & Support
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Develop, maintain, and enhance AI-powered conversational solutions and chatbot platforms.
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Support the onboarding of new use cases and business entities onto the Conversational AI Platform.
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Create and manage environments required for new deployments and implementations.
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Contribute to the industrialization and scalability of AI solutions across multiple business areas and regions.
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Develop onboarding guidelines, playbooks, and best practices to accelerate adoption.
AI & Data Engineering
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Design and develop data pipelines supporting AI and RAG-based solutions.
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Build and maintain integrations with APIs and external services.
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Prepare, manage, and optimize data sources used by conversational AI applications.
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Work with technologies such as Airflow, Elasticsearch, and modern AI frameworks.
Platform Operations & Continuous Improvement
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Monitor platform performance, reliability, and operational health.
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Investigate and resolve incidents affecting existing bots and AI services.
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Troubleshoot complex technical issues and implement sustainable solutions.
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Identify and address technical debt to improve platform maintainability and scalability.
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Support vulnerability remediation and ensure compliance with security standards.
Collaboration & Agile Delivery
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Collaborate with cross-functional teams including DevOps, MLOps, Data Engineering, Security, QA, and Product teams.
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Participate actively in Agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives.
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Contribute to the evaluation and integration of emerging AI technologies and tools.
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Provide technical expertise and recommendations to support strategic AI initiatives.