Intern – Ai Agent Developer

23 set - Bardi
Stmicroelectronics

Questa posizione è in STMicroelectronics Il processo di selezione sarà interamente gestito STMicroelectronics.
-- OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society.
As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect.
People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way.
Our technology starts with you.
YOUR ROLE Join our MEMS Software Solutions team!
We are looking for an intern focused on the end-to-end development of an AI agent dedicated to technical support for ST MEMS sensors and related software (drivers, libraries, GUIs, configuration tools, documentation, etc.).
The goal of the internship is to design and implement an AI assistance system that integrates heterogeneous information sources (technical documentation, FAQs, code examples, application notes) and automation workflows to provide contextual and actionable answers to customers and internal support teams.




The main activities will be: Requirements analysis for the AI agent supporting MEMS sensors (question types, use cases, required integrations) Architectural design of the AI agent system (workflows, components, integrations with APIs and document repositories) Integration of AI models (LLMs / language models and retrieval tools) to understand user queries, search for information in technical documentation, generate structured and technically sound answers Content ingestion and preparation: collection and organization of datasheets, application notes, user manuals, FAQs, definition of indexing/embedding and retrieval (RAG) strategies Development of backend workflows and services to orchestrate AI calls, query data sources (databases, file systems, internal APIs), and log requests and responses for later analysis Development of access interfaces to the agent (e.g. REST APIs, a simple web frontend / GUI or integration into existing tools) Definition and implementation of tests (functional and regression) to validate the technical correctness of answers, and verify robustness and reliability of workflows and services Monitoring and continuous improvement of the AI agent: analysis of real interactions, prompt tuning and refinement of retrieval pipelines, performance optimization (latency, cost, answer quality) Documentation of the developed solutions (architecture, workflows, usage and maintenance best practices) Build and deploy intelligent AI agents using Python, optimizing memory, and reasoning YOUR SKILLS

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