Artificial Intelligence Engineer

About Us:

Intellect Design Arena Ltd is a global leader in enterprise-grade financial technology, delivering composable and intelligent solutions to forward looking financial institutions across 61 countries. With three decades of domain expertise, our product suite spans Wholesale Banking, Consumer Banking, Central Banking, Wealth, Capital Markets, Treasury, Insurance and Digital Technology for Commerce. Applying First Principles Thinking and Design Thinking, we have streamlined the financial services landscape into a finite set of Events, Microservices, and APIs, enabling faster, modular transformation with measurable outcomes.

Intellect Is Trusted by Financial Leaders Worldwide

500+ Leading Global, Regional and Challenger Financial Institutions across 57 Countries rely on Intellect.

For more information, visit

www.intellectdesign.com

www.emach.ai

www.purplefabric.ai

Job Title: Entry-Level AI Engineer

Location: Santa Fe, Mexico

Experience: 0–1 years

Position Summary:

Entry level AI Engineer to develop, test, and deploy AI and machine learning solutions. The ideal candidate is passionate about artificial intelligence, software development, and Generative AI, and is eager to learn while working with experienced engineers on enterprise AI applications.

Key Responsibilities

• Develop and maintain AI/ML models and applications.
• Build data pipelines and preprocess datasets.
• Develop AI-powered applications using Large Language Models (LLMs).
• Assist in prompt engineering and Retrieval-Augmented Generation (RAG) solutions.
• Integrate AI models into enterprise applications and APIs.
• Test, optimize, and monitor AI model performance.
• Collaborate with software engineers, data scientists, and business teams.
• Document technical designs and solut ions.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 0–1 years of experience (internships or academic projects accepted).
• Strong programming skills in Python.
• Basic knowledge of Machine Learning, Deep Learning, and NLP.
• Familiarity with TensorFlow, PyTorch, or Scikit-learn.
• Exposure to LLMs, Prompt Engineering, and cloud platforms (AWS, Azure, or GCP) is a plus.
• Knowledge of Git, SQL, and REST APIs.
• Strong analytical, communication, and problem-solving skills.