AI DEVELOPMENT ENGINEER

Description

Position Summary: Develops, integrates, and operates AI applications, conversational agents, and data pipelines, ensuring information preparation and availability. Key Highlights: 1. AI development with Python, Java and/or Node.js 2. RAG implementation and vector database management 3. Collaboration in interdisciplinary teams **Location:** MONTERREY, Nuevo León, MX **Category:** Administration **Requisition ID:** 121157 **Artificial Intelligence (AI) Applications Engineer** **(MTY)** At Banorte, we seek unique, strong, and extraordinary talent to drive the country’s transformation and innovation, becoming a powerful ally for robust growth with Mexico. We firmly believe that the combination of solidarity, innovation, respect, loyalty, and responsibility is the perfect formula to become the best team in the financial sector. **Position Objective:** Develop, integrate, and operate AI applications supported by conversational agents, agent-based architectures, and data pipelines (ETL), ensuring proper preparation, transformation, and availability of information for Machine Learning models, LLMs, and RAG-type solutions. Your responsibilities include: * Developing AI applications using Python, Java and/or Node.js. * Collaborating on the implementation of conversational agents and agent-based architecture solutions, following guidelines defined by architects and specialists. * Designing, developing, and maintaining ETL (Extract, Transform, Load) pipelines for: + Data collection from multiple sources (databases, APIs, files, data lakes). + Data cleaning, normalization, and transformation. + Data preparation for AI models, RAG, and advanced analytics. * Implementing and operating RAG pipelines: + Knowledge loading and updating. + Embedding generation and management. + Integration with vector databases. * Integrating AI applications with internal and external systems via APIs, SDKs, and REST services. * Supporting technical integration of LLMs from various providers, following patterns defined by the architecture team. * Participating in model training, validation, and fine-tuning tasks (where applicable). * Working with large volumes of structured and unstructured data. * Collaborating closely with conversational architects, data scientists, and business units. * Documenting pipelines, data processes, and technical developments. **Requirements:** * Programming in Python and Java (mandatory); Node.js preferred. * Practical experience in data processing and ETLs. * Solid knowledge of: + Handling structured and unstructured data. + Data transformations, validations, and quality control. * Experience developing data pipelines using tools such as: + Airflow, n8n, Dataflow, Glue, or similar (preferred). * Basic–intermediate knowledge of: + Software architectures and microservices. + Consuming and exposing APIs. * Technical implementation of RAG and vector database management. * Familiarity with multi-agent architectures from an implementation perspective. * Cloud platform experience (GCP, IBM Cloud, AWS or Azure). * Version control using Git / GitLab. **Desirable Tools and Technologies** ETL / Data Engineering: Airflow, n8n, Apache Beam / Dataflow, Advanced SQL Data & Analytics: BigQuery or other data warehouses Data Processing with Pandas / PySpark (preferred) AI / GenAI: LLM integration (Azure OpenAI, OpenAI, open-source, etc.). Foundational generative AI frameworks Infrastructure: Docker, basic CI/CD. **Education:** Bachelor’s degree in Systems Engineering, Computer Science or related field. **Experience (minimum):** * 1 year in AI, data, or software application development. * Project management experience. * Banking and/or financial sector experience preferred. **Knowledge and Skills:** * AI application and microservice development. * API and SDK integration. * RAG implementation and vector database management. * Development methodologies: waterfall, agile, Scrum. * Mentoring and training skills. **Languages:** Intermediate–advanced English. **Soft Skills:** * Problem Solving: Ability to analytically and thoroughly address and resolve complex problems. * Collaboration and Communication: Ability to work in interdisciplinary teams (with data scientists, product managers, ML engineers) and explain technical concepts to non-technical audiences. * Creativity and Innovative Thinking: To design novel solutions and think outside the box when applying AI. * Intellectual Curiosity and Adaptability: AI technology evolves rapidly; thus, the ability to continuously learn and adapt to new tools and techniques is essential. **Availability:** Not applicable for travel. At Banorte, we operate under a principle of equal opportunity. Therefore, we do not discriminate based on age, ethnicity, nationality, gender, sexual orientation, marital status, social condition, health status, religious beliefs, political doctrine, or disability.