FE Design Agentic AI Automation Expert

04 ago - Italia
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Experteer Overview In this role you design, develop, and industrialize agentic AI solutions for Front-End digital design, enabling LLM-powered reasoning and task orchestration across engineering workflows. You collaborate with FE experts to ground AI in real design practices and scale solutions across ST sites. You will define architectures with safety, quality, and traceability, and contribute to metrics that prove productivity and design quality gains. This is a chance to shape industrial AI in a world-leading semiconductor context.
Retribuzione / Benefits Lead the design and deployment of agentic AI and LLM-based systems for engineering workflows.
Develop AI agents capable of reasoning, task orchestration, tool invocation, and workflow automation.
Integrate LLM-based agents with internal knowledge bases, coding/design guidelines, and EDA environments.
Define architectures for human-in-the-loop AI systems with embedded quality, safety, and traceability.
Collaborate with design and methodology teams to ground AI solutions in real FE digital design use cases.




Contribute to metrics to assess impact on productivity, design cycle time, and quality.
Participate in the evaluation of internal and external AI and EDA technology solutions.
Support the industrialization, scalability, and governance of AI solutions in engineering environments.
Responsabilità Master's degree in Computer Science, AI, Data Science, Computer Engineering, or equivalent.
Strong experience in AI/ML and Generative AI, with exposure to LLMs and agentic AI systems.
Experience with agent architectures, prompt engineering, RAG, and AI orchestration frameworks.
Strong software engineering skills (Python, APIs, workflow integration, automation).
Ability to design robust, explainable, and scalable AI systems for industrial environments.
Experience integrating AI solutions with existing tools and complex enterprise systems.
Good understanding of digital front-end design principles and familiarity with EDA to

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