Senior GenAI Data Engineer (Databricks)

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.

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: designing system prompts that maintain context and hierarchy (e.g., understanding team associations).

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

Architect AI Agents: Build and deploy agents that can perform NLP-based data generation, automated data enrichment, and complex data reasoning within Databricks.

Natural Language Interfaces: Develop "Chat with your Data" features, allowing stakeholders to query the data warehouse using natural language.

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

Benefits

Monetary compensation

Year-end Bonus

IMSS, AFORE, INFONAVIT

Major Medical Expenses Insurance

Life Insurance

Funeral Expenses Coverage

TDU Membership

MediAccess

Health Check-Up Subsidy

Preferential rates for car insurance

Vacations

Official Mexican Holidays

Life Happens Days

Bereavement Leave

Civil Marriage Leave

English Classes

Certifications

Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)

Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)

Taquitos Rewards

Birthday Bonus

Work-from-home Bonus

Laptop Policy

Equal employment:

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.