Experteer Overview In this role you will help design AI-native cloud ecosystems and scalable infrastructures. You will collaborate with cross-functional teams to integrate AI solutions using modern AI APIs, LLMs, and traditional ML approaches. You'll contribute to Generative AI projects, including Prompt Engineering, RAG, and Copilot systems, while building backend components and cloud infrastructure. The position focuses on hands-on data pipelines, real-time data processing, and deployment of scalable AI-enabled features. This is a growth-focused path with mentoring, training, and a clear career trajectory.
Retribuzione / Benefits Develop and integrate AI-based solutions with APIs, LLMs, and ML approaches
Contribute to backend components and interfaces for AI features
Manage or contribute to Cloud infrastructures (Azure, AWS, GCP) for scalable solutions
Support end-to-end data pipelines and real-time data delivery to AI models

Participate in Generative AI projects (Prompt Engineering, RAG, Copilot) and related tooling
Collaborate with multidisciplinary teams and communicate technical concepts clearly
Engage in continuous learning and improvement through structured training and mentorship
Assist in shaping AI-native cloud architectures and deployment strategies
Responsabilità Bachelor in Computer Science (or related) with strong academic record
Hands-on software development experience, preferably Python
Familiarity with Git or version control
Basic knowledge of Cloud platforms (AWS, Azure, GCP)
Interest in Generative AI topics (Prompt Engineering, RAG) and API-driven development
Ability to work in multidisciplinary teams and communicate technical concepts
Continuous training

AWS Cloud Engineer junior

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