SGS AI Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . AI Engineer Full-time Company Description We are SGS the world's leading 5-testing, inspection and certification company. Today, that mission is driven by data and technology. With 99,500 employees across 2,500 locations, we have a unique opportunity to build world-class digital products. We are now launching a new Hub in Madrid to do just that. This is your opportunity to be the engine that brings our most ambitious ideas to life. Job Description This is a role for a hands-on AI builder who wants to solve high-stakes business problems, fast.Working alongside our Principal engineers,you will turn complex, manual workflows into working code and deliver functional Proofs of Concept quickly. As our AI Engineer for Rapid Prototyping, you will be the core technical engine for our innovation projects. Your mission is to take on complex challenges involving unstructured documents and build working, end-to-end AI-powered solutions. You will own the entire lifecycle from data extraction and processing to building the core logic and demonstrating the value. Automating Certificate Validation: You will take our existing prototypes for product safety certificates (GCC/CPC) and build the crucial missing pieces. This includes implementing the core cross-validation logic against test reports, consolidating the data and delivering a functional system. Building an Intelligent Protocol Hub: You will tackle the ambiguous challenge of transforming hundreds of dense technical protocols into a smart, queryable database. This involves enhancing our Selenium web scrapers, building decoders, and using LLMs to intelligently extract and link cited standards from raw text. Delivering Interactive Demos: For every project, you will rapidly build a functional web interface (using Streamlit, Gradio, or FastAPI) to demonstrate the solution's value to stakeholders and gather immediate feedback. Proving Value with Data: You will be responsible for implementing and running performance evaluations on your POCs to generate the empirical data that proves their efficacy and guides the next steps Qualifications Python Mastery: Expert-level Python and its data ecosystem (Pandas, etc.) is non-negotiable. Hands-on LLM & NLP: Proven experience building applications with LLMs for information extraction (RAG, function calling). Direct experience with commercial LLM is a must. Full-Stack Prototyping: You must be able to build a complete, functional demo. This includes data processing on the backend and a simple UI on the frontend (Streamlit, Gradio, FastAPI). Web Scraping & Document Processing: You are comfortable with tools like Selenium and Beautiful Soup, as well as libraries for handling PDFs and other document formats (e.g., PyMuPDF). Pragmatic Data Skills: You can design a simple database schema (SQL), write the necessary queries, and are comfortable with the entire data wrangling process Who You Are A Hacker and a Maker: You have a builder's DNA and are driven by the desire to create things that work, fast. Versatile and Adaptable: You are excited by the idea of switching between a well-defined integration project and a completely ambiguous exploratory one A full-stack problem solver: You have a broad skillset and can comfortably handle data engineering. AI scripting and building a simple UI Biased Towards Action: You would rather build a simple version in a day than debate a perfect version in a week Creative and Resourceful: You see a collection of tools and problems and instinctively know how to combine them to create a solution Additional Information What We Offer Competitive Compensation: A strong salary and benefits package for a high-impact builder. End-to-End Project Ownership: You won't just work on a small feature. You will own entire prototypes from data ingestion to the final demo, with the autonomy to choose the right tools. High-Velocity Impact: Be the engine of innovation for the Hub, rapidly delivering the POCs that prove what's possible and guide our product strategy. A Compelling Problem Space: Apply your skills to unique, tangible problems in global safety, sustainability, and supply chains that few others get to see. Growth & Mentorship: Work directly with and learn from our Principal engineers in a world-class environment, with a clear path to grow your skills and career. Videos To Watch Job Location Google Maps requires functional cookies to be enabled I'm interested I'm interestedCookies Settings I'm interested Refer a friend Posted by Ismael Guindo share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue AI Engineer C. Trespaderne, 29, Barajas, 28042 Madrid, Spain Full-time I'm interested I'm interested

The role requires expert-level Python proficiency and experience with its data ecosystem, including Pandas. Candidates must have proven experience building applications with LLMs for information extraction, specifically using RAG and function calling, with direct experience with commercial LLMs being essential. The ability to build a complete, functional demo is necessary, encompassing backend data processing and a simple frontend UI using tools like Streamlit, Gradio, or FastAPI. Familiarity with web scraping tools such as Selenium and Beautiful Soup, along with libraries for document processing like PyMuPDF, is also required. Additionally, pragmatic data skills are needed, including the ability to design simple SQL database schemas, write queries, and manage the data wrangling process.