As an AI Engineer Intern in eCloudvalley’s AI Business Unit, this role contributes to the development of enterprise-grade AI Agents and core platform modules. The internship focuses on two main areas. The first involves supporting customer-specific AI Agent development, including requirements analysis, data preparation, workflow and tool design, large language model (LLM) integration, testing, and assistance with deployment for real business scenarios such as customer service, human resources, finance, and manufacturing. The second area centers on contributing to the AI Agent platform itself, including standardized module development, toolchain integration, API connectivity, orchestration framework implementation, and governance-related functionalities. This work supports the creation of a scalable and reusable foundation for a modular AI Agent platform.
During the internship, the student will gain hands-on experience with leading AI technologies, including large language models, cloud platforms (AWS, Azure, and GCP), retrieval-augmented generation (RAG) pipelines, vector databases, MLOps practices, and AI Agent orchestration frameworks. The role also involves participation in real enterprise projects, providing practical experience in translating business requirements into technical solutions and delivering production-ready AI capabilities.
The team offers structured technical guidance, mentorship, and cross-functional collaboration opportunities to support learning and development. This internship provides practical exposure to AI engineering, productization, and enterprise solution delivery, and serves as a strong starting point for students aiming to build a career in AI development and platform engineering.