Descrizione:
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
Requisiti fondamentali
- Mentoring and support
- Continuous training
- Structured career path
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