Your Job
As an AI Engineer, you will design and deploy Generative AI solutions that enhance manufacturing, coating, commercial, and supply chain operations. You will build and orchestrate LLM-based systems using RAG, agentic workflows. You will collaborate with data scientists, data engineers, IT, and business teams to integrate scalable, secure, and efficient AI applications across on-premise and cloud environments. Staying current with emerging Gen AI technologies, you will guide best practices, and demonstrate the business impact of AI-driven innovation. This position reports to Director of AI and Data Science Solutions.
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 Lang Chain, Open AI 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 Tensor Flow, Py Torch, Keras, Scikit-learn, Pandas, Numpy, Crew Ai, 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 applying Gen AI and LLMs to develop solutions for operational and commercial use cases.
Knowledge of tools such as Docker, Snowflake, Salesforce
Familiarity with Azure AI Foundry services or AWS Bedrock.
