AI Engineer

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

📋 Description

• Contribute to the creation and upkeep of Python-based applications utilizing GenAI, LLMs, and conventional machine learning models to address business challenges.

• Assist in the delivery and expansion of the AI/MLOps platform on GCP for data scientists throughout the organization.

• Produce clean, testable, and maintainable code; engage in code reviews and utilize Git for version control and collaboration.

• Aid in the development of autonomous AI agents using LangGraph or ADK to streamline workflows.

• Support the production deployment of AI models, conduct simulations for algorithm development, and collaborate on intelligent system design.

• Create and integrate RESTful APIs that connect systems and services within the ML platform.

• Help automate model training, retraining, and deployment pipelines using Agile methodologies and CI/CD/CT principles under the guidance of senior engineers.

• Work with engineering teams to grasp platform vision, decompose tasks, and resolve complex AI issues.

• Experiment with NLP, computer vision, MLOps, and Kubernetes, sharing insights with the team.

• Engage in innovating and standardizing AI/ML development practices.

• Utilize AI-powered development tools such as GitHub Copilot, Cline, or Open Code while ensuring code quality, security, and performance.

⛳️ Requirements

• Proficiency in English, both written and verbal.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.

• Over 2 years of experience with Python and cloud engineering/services like GCP Vertex AI and associated services.

• Foundational knowledge of machine learning concepts and Generative AI technologies, including LLMs.

• Experience with AI/ML workflow orchestration tools such as Airflow or Kubeflow.

• Familiarity with DevSecOps utilizing tools like Tekton, SonarQube, or Checkmarx/Checkmarks.

• Proficient in scripting languages such as Bash or PowerShell.

• Desired: Master’s degree in computer science, AI, machine learning, or a related field.

• Desired: Exposure to ML frameworks like scikit-learn, TensorFlow, or PyTorch.

• Desired: Familiarity with CI/CD concepts and tools such as GitHub Actions, SonarQube, or Checkmarks.

• Desired: Basic knowledge or experience with Terraform.

• Desired: Ability to contribute to ML-platform user interfaces using React, Dash, Angular, or similar frameworks.

• Desired: Experience with container technology, Dockerfiles, Docker images, GitHub, and CI/CD concepts.

• Desired: Experience with Agile methodologies, pair programming, or test-driven development.

🏝️ Benefits

• Comprehensive health coverage including medical, dental, and vision plans.

• Flexible working hours and remote work options to promote work-life balance.

• Professional development opportunities including workshops and certifications.

• Access to cutting-edge technology and resources to support innovation.