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An AI Engineer is a technical professional specialized in the design, development, and deployment of artificial intelligence systems in production, leveraging advanced skills in software engineering, large language models, and other cutting-edge technologies. They also play a key role in assessing the ethical impact of their solutions, ensuring that AI systems are developed responsibly, transparently, and in compliance with privacy and security regulations.

Key Responsibilities
- End-to-end AI system development: Design, develop, and deploy artificial intelligence systems from prototype to production
- Agentic architecture implementation: Build multi-agent systems using agent architectural patterns




- Prompt engineering and optimization: Develop effective prompts for generative models to ensure consistent performance across different model families
- RAG systems: Implement and optimize semantic search and retrieval-augmented generation systems for enterprise applications
- Evaluation and testing: Develop robust evaluation frameworks to measure the performance, reliability, and alignment of AI agents
- Requirements
- Programming languages: Proficiency in Python and/or TypeScript for AI application development
- Frameworks and tools: Experience with LangChain, LangGraph, Copilot SDK, ADK, or other frameworks for building autonomous agents
- Models and architectures: Understanding of transformers, fine-tuning techniques (LoRA, QLoRA, DPO), and multimodal models
- Vector databases: Implementation and management of embedding and retrieval systems using databases
- Language skills: For specific projects, langua

📌 AI Engineer Intern (Italia)
🏢 ING ITALIA
📍 Italia