We are constantly driven by curiosity, innovation, and the desire to improve every day. We are seeking a data-driven Ai Engineer to join our team at a high-growth advertising technology company. This role focuses on scaling our reporting infrastructure for advertising performance and billing reconciliation, ensuring that financial and operational data is accurate, automated, and actionable. In this role, you will be responsible for developing robust data pipelines, ensuring data quality and reliability, and enabling efficient data consumption across the organization. You will collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders to deliver high-impact data platforms. The idóneo candidate is a proactive problem-solver with strong technical expertise, capable of working with large datasets, modern data architectures, and cloud-based environments. You thrive in fast-paced settings, navigate ambiguity with confidence, and are passionate about turning data into actionable value.



Requirements Databricks & AI Architecture (Must-Have) Strong experience working with Databricks Lakehouse architecture Nice to have expertise in Databricks Mosaic AI and Unity Catalog for governing AI assets Hands on experience Building RAG (Retrieval-Augmented Generation) pipelines using Vector Search SQL & Data Modeling (Must-Have) Advanced SQL development AI Engineering & Data Workflows (Must-Have) Experience integrating LLM APIs (OpenAI, Anthropic, etc.) into data workflows Hands-on experience using AI for: Data enrichment Anomaly detection Automated classification Experience with LangChain, LlamaIndex, or similar frameworks Exposure to Model Context Protocol (MCP) or similar approaches to connect AI models with external tools and data sources Strong understanding of Tool Calling / Function Calling : enabling LLMs to interact with SQL databases and external APIs securely. Experience in Prompt Engineering and Guardrailing : designin

📌 Senior Data Engineer (Ciudad de México)
🏢 En Route
📍 Ciudad de México