Pubblicato il 19 giugno
Mansioni della posizione
We are seeking a highly skilled, cross‐functional AI Engineer to design, build, and scale a GenAI‐powered conversational platform. The solution will combine advanced LLM capabilities with enterprise‐grade backend systems, cloud infrastructure, and an interactive chat frontend. Ensure secure LLM usage, including prompt injection mitigation, safe prompt design and validation, and data privacy and access control Design and implement a microservices architecture, distributed systems, and secure API patterns with authentication and authorization Develop a React‐based conversational UI with streaming responses (real‐time token flow), chat history, and multi‐turn conversation management Build and maintain production‐ready ML/AI systems with CI/CD pipelines for ML and application code Model deployment and monitoring pipelines Use tools and platforms such as Docker, Kubernetes, Azure ML, Databricks, or AWS Handle structured and unstructured data ingestion and transformation Implement MCP (Model Context Protocol) client integration in Python BSc/MSc in Computer Science or related field Python (mandatory), Node.js or Java (nice‐to‐have but preferred); React (for frontend‐focused roles) Strong understanding of secure API design, authentication, and system integration Strong skills in prompt engineering and secure LLM implementation, including mitigation of prompt injection risks Hands‐on experience with cloud platforms such as Azure ML, Databricks, or AWS #
