Our Data Science and Modelling (DS&M) team drives innovation by transforming complex commodity data into actionable insights that impact global business decisions. We're a collaborative, goal-oriented group working in a dynamic environment where you'll leverage cutting-edge AI and automation technologies alongside talented data scientists, engineers, and domain experts who value continuous learning and creative problem-solving. Responsibilities and Impact: Design workflow automation solutions using enterprise automation platforms or similar tools to streamline operations for internal and external clients Create AI-powered agents to automate tasks and improve user efficiency Build and maintain retrieval-augmented generation (RAG) applications and LLM-powered solutions using vector databases and orchestration frameworks to enhance data retrieval and generation capabilities Work with business teams to analyze data, build pipelines, and identify automation opportunities Drive business decisions based on insights obtained from data What We're Looking For: Basic Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related discipline Strong experience in object-oriented programming, with the ability to design and develop modular, maintainable code, and a solid understanding of design patterns and SOLID principles, including advanced use of distributed version control systems for collaborative development 5+ years of programming experience with 3+ years of Python; and a strong understanding of data pipelines, machine learning implementation, and clean code practices 1+ years hands-on experience building and deploying LLM-based applications, including RAG architectures using orchestration frameworks, vector databases, and LLM operations/monitoring tools 1+ years hands-on experience with workflow automation platforms or similar technologies 2+ years' experience accessing and manipulating data with relational or NoSQL databases Key Soft Skills: Excellent written and spoken English communication skills with the ability to translate technical concepts for non-technical stakeholders Collaborative team player who thrives in Agile environments Adaptability and willingness to learn and adopt new tools and technologies Additional Preferred Qualifications: Key Qualifications: Recent work experience in an AI workflows role or experience with production LLM operations including prompt engineering, model evaluation, cost optimization, and managing LLM application lifecycle Experience working with commodity markets Experience with enterprise automation platforms or automation certifications Experience with deep learning frameworks and unified analytics platforms Knowledge of cloud services, big data technologies, large-scale data analytics tools, and API integration Soft Skills: Entrepreneurial mindset in identifying automation opportunities Adaptable to rapidly changing technologies with a passion for new technologies Strong stakeholder management and consulting orientation The location: Mexico or Colombia remote. #J-18808-Ljbffr