Senior AI Engineer – Generative AI, LLMs

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design and develop production-ready Artificial Intelligence solutions using traditional models and Generative AI.

• Provide technical leadership for the implementation of architectures based on LLMs, RAG, and intelligent agents.

• Create APIs, microservices, and reusable components to accelerate new AI initiatives.

• Integrate AI models with corporate systems, cloud platforms, and both structured and unstructured data sources.

• Architect scalable solutions on Azure, AWS, or GCP considering availability, security, and maintainability.

• Implement MLOps and LLMOps practices to automate deployments, versioning, monitoring, and operation of models.

• Design and implement data processing pipelines (ETL/ELT) for AI solutions.

• Define evaluation strategies, observability, and performance monitoring for models and agents.

• Collaborate with business teams to transform functional requirements into high-impact technical solutions.

• Promote best practices in architecture, quality, security, and governance within AI initiatives.

• Implement AI solutions that are deployed with measurable business impact.

• Reduce development and implementation time through reusable architectures.

• Design scalable components that expedite future AI initiatives.

• Ensure solutions have high availability, observability, and performance.

• Continuously improve the quality and accuracy of deployed models and agents.

• Adhere to security standards, governance, and best engineering practices.

⛳️ Requirements

• Over 5 years of software development experience.

• More than 3 years of experience implementing Artificial Intelligence solutions in production environments.

• Proven experience designing and implementing end-to-end solutions, from experimentation to production deployment.

• Experience collaborating with multidisciplinary teams and business stakeholders.

• Preferred experience in regulated industries such as finance, insurance, health, or fintech.

• Advanced Python skills.

• Advanced SQL skills.

• Development of REST APIs and microservices.

• Node.js (preferred for integrations and services).

• Familiarity with Language Models (LLMs).

• Knowledge of Retrieval-Augmented Generation (RAG).

• Expertise in Prompt Engineering.

• Experience with AI agents.

• Background in traditional Machine Learning.

• Integration of foundational models within enterprise applications.

• Experience working with at least one of the following platforms: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).

• Design and implementation of ETL/ELT processes.

• Processing of structured and unstructured data.

• Integration of multiple information sources.

• Automation of deployments using CI/CD.

• Model versioning.

• Containerization with Docker.

• Monitoring and observability of AI models and services.

🏝️ Benefits

• 🚀 Integration into global brands and disruptive startups.

• 🏡 Remote work/Home office.

• 📍 If a hybrid or onsite modality is required, you will be informed from the first session.

• ⏳ Schedule adjusted to the assigned work/project cell.

• 📅 Work from Monday to Friday.

• 🏥 Major medical expenses insurance (applies in Mexico).

• 🛡️ Life insurance (applies in Mexico).

• 🌎 Multicultural teams.

• 🎓 Access to courses and certifications.

• 📢 Meetups with special guests from the IT field.

• 📡 Virtual integration events and interest groups.

• 📢 English classes.

• 🏆 Opportunities within our various lines of business.

• 🏅 Proudly certified as a Great Place to Work.