Senior GenAI Data Engineer (Databricks) at Enroute

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks Lakehouse, RAG Pipelines, Advanced SQL, LLM API Integration, LangChain, LlamaIndex, Prompt Engineering, Vector Search, Data Modeling, Unity Catalog, Mosaic AI, Python, CI/CD, GitHub Workflows, Anomaly Detection, NLP

Industry

IT Services and IT Consulting

Description

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 & 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 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.

Responsibilities

Architect and deploy AI agents and natural language interfaces to enable automated data enrichment and reasoning within Databricks. Develop scalable data pipelines and models to support advertising performance reporting and billing reconciliation.