- Location
- Bucharest, B, RO
- Type
- Full-time
- Department
- IT
- Seniority
- Senior
- Closing date
- Today
- Source
- iCIMS
Description
Overview
Expleo is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses. Expleo benefits from more than 50 years of experience developing complex products in automotive and aerospace, optimizing manufacturing processes, and ensuring the quality of information systems. Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalization, automation, cybersecurity and data science, the group’s mission is to fast-track innovation through each step of the value chain.
Responsibilities
We are looking for an experienced AI Engineer to design and deliver production-ready AI solutions within a large enterprise environment.
The role combines Generative AI, Machine Learning, Azure cloud engineering and MLOps, with a strong focus on building scalable AI applications using the Microsoft Azure ecosystem.
Day-to-Day Responsibilities:
- Design, develop and deploy AI and Machine Learning solutions on Azure.
- Build Generative AI applications using Azure OpenAI Service.
- Develop RAG-based solutions, copilots and intelligent assistants.
- Integrate AI capabilities with enterprise applications, APIs and data platforms.
- Implement CI/CD and MLOps processes for model deployment, monitoring and lifecycle management.
- Work with business and technical stakeholders to translate requirements into AI solutions.
- Ensure AI solutions meet security, governance and Responsible AI standards.
Qualifications
- 5+ years of experience in Software Engineering, Machine Learning, Data Engineering, or AI Engineering roles.
- Strong hands-on experience with Python and SQL, including the development of scalable AI and data solutions.
- Proven experience with Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) architectures.
- Strong knowledge of Microsoft Azure AI services, including Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure AI Search.
- Experience delivering AI solutions into production, with solid understanding of CI/CD, Docker, Kubernetes, MLOps, REST APIs, and Git-based development workflows.
Desired skills
- Experience with Microsoft Fabric and Azure Data Factory.
- Knowledge of Azure Functions, Azure Kubernetes Service (AKS), and Infrastructure as Code (IaC) practices.
- Experience with PowerShell or C#/.NET development.
- Familiarity with Agentic AI frameworks and autonomous AI solution design.
- Relevant Microsoft Azure AI certifications are considered a strong advantage.
What do I need before I apply
- CIM/B2B collaboration
