AI Automation Engineer

Confidential

Guatemala City, Guatemala permanent

Posted: February 13, 2026

Required Skills

Job Description

AI Engineer

We are seeking a highly skilled AI Engineer to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The ideal candidate will work closely with data scientists, software engineers, and product teams to transform business requirements into AI-powered applications.

Key Responsbilities:

Design, build, and deploy AI/ML models for production environments

Develop and maintain scalable machine learning pipelines

Work with structured and unstructured datasets

Fine-tune large language models (LLMs) and implement NLP solutions

Optimize model performance, accuracy, and efficiency

Integrate AI solutions into backend systems and APIs

Conduct model evaluation, validation, and monitoring

Stay updated with the latest AI research and emerging technologies

Collaborate cross-functionally with engineering and product teams

Required Skills & Qualifications

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field

Technical Skills

Strong programming skills in Python

Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Experience with deep learning, NLP, computer vision, or reinforcement learning

Knowledge of LLMs and transformer architectures

Experience with cloud platforms (AWS, Azure, GCP)

Familiarity with Docker and CI/CD pipelines

Understanding of data structures and algorithms

Experience with SQL and NoSQL databases

Preferred Qualifications

Experience with generative AI applications

Knowledge of MLOps tools (MLflow, Kubeflow)

Experience deploying models via REST APIs

Experience with distributed systems (Spark, Ray)

Strong analytical and problem-solving skills

Excellent communication and teamwork abilities

Ability to translate business problems into technical solutions

Self-motivated and adaptable to fast-paced environments

Experience with fine-tuning or deploying large language models (e.g., GPT-style models)

Experience building AI products from prototype to production

Published research or contributions to open-source AI projects

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