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AI Engineer + Data Engineer at Enroute. We love technology, and we enjoy what we do.. We are constantly driven by curiosity, innovation, and the desire to improve every day. We take ownership of our work, value collaboration, and foster a culture of trust and accountability. Our Enrouters embrace challenges, ask questions, learn quickly, and grow together.. We pride ourselves on offering competitive compensation, excellent benefits, a great work environment, flexible schedules, and policies that promote a healthy work-life balance. We care about who you are both inside and outside the workplace, and we are committed to building a strong community of driven, responsible, respectful—and above all—happy individuals. We want you to genuinely enjoy working with us.. 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 ideal 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.. Databricks & Data Engineering (Must-Have). Strong experience working with . Databricks Lakehouse architecture. . Experience designing and maintaining . scalable data pipelines. . Ability to process and model . large-scale analytical datasets. . SQL & Data Modeling (Must-Have). Advanced SQL development . Experience building . modular and reusable transformations. . Experience with . Jinja SQL (dbt or similar frameworks). . Strong data modeling skills for analytics and reporting . 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 . Platform & Engineering Practices (Nice-to-Have / Medium). Experience with . GitHub workflows. . Familiarity with . CI/CD pipelines (Jenkins or similar). . Experience working with . YAML/YML configuration files. . Key Responsibilities. Design and build . AI-powered data pipelines. within Databricks . Integrate . LLMs into data workflows. for automation and intelligence . Develop scalable data models to support . analytics and AI use cases. . Implement . AI-driven enhancements. such as anomaly detection and data enrichment . Collaborate with data, analytics, and engineering teams to improve data reliability . Optimize performance and scalability of data and AI workflows . Support automation through CI/CD practices . Ensure data quality, traceability, and maintainability across pipelines . Company Location: Mexico.