**Your Job****Our Team**Our talented AI engineers and data scientists leverage a wealth of operational, sales, and supply chain data to drive transformation across manufacturing, commercial operations, procurement, logistics, and business strategy-empowering Guardian to innovate and excel in every aspect of our business.We invest in our team by encouraging attendance at industry conferences and ongoing education opportunities enabling them to stay on the dynamic ever-changing data science and Gen landscape and bring new methods and techniques to their projects.
**What You Will Do**- Design and implement AI agents using Large Language Models (LLMs) and frameworks like LangChain, OpenAI APIs, and related tools.
- Develop robust, maintainable, and scalable Python code for AI workflows and pipelines.
- Collaborate with cross-functional teams to integrate AI capabilities into products and services.
- Conduct experiments, evaluate model performance, and iterate on agent behavior and architecture.
- Stay up-to-date with advancements in LLMs, agent frameworks, and AI tooling such as quick experiments and POCs in partnership with vendors.
- Participate in code reviews, design discussions, and agile development processes.
- Document technical designs, decisions, and best practices including Responsible AI and Ethics.
- Strong data-driven storytelling to present to stockholders.




**Who You Are (Basic Qualifications)**- Bachelor's degree in a quantitative field such as Data Science, Engineering, Statistics, Computer Science, Physics, Operational Research, Economics, or a related discipline.
- Proven experience developing LLM solutions and designing tools or plugins to enhance LLM functionality.
- At least 2 years of hands-on programming experience in Python, working with libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, Numpy, CrewAi, Chatlas, or Shiny, in addition to proficiency in SQL.
- Excellent communication skills, (English / Spanish)with the ability to present complex technical concepts to both technical and non-technical audiences.Strong technical writing and presentation abilities.
- Experience with cloud computing infrastructures and technologies, including AZURE and AWS**What Will Put You Ahead**- Masters degree in a quantitative field (Computer Science, Engineering, Data Science, Physics, Operational Research, Economics, or equivalent)- Knowledge of tools such as Docker, Snowflake, Salesforce- Familiarity with Azure AI Foundry services or AWS Bedrock.
**Who We Are**At Koch, employees are empowered to do what they do best to make life better.Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.LI-DP2

📌 Ai Engineer (El Marqués)
🏢 Guardian Glass
📍 El Marqués