AI Engineer Intern

About Trimerg Tech Solutions

Trimerg Tech Solutions is an AI engineering and software development company that builds intelligent systems to help businesses automate workflows, boost productivity, and drive growth. The team combines artificial intelligence, modern software engineering, and cloud technologies to turn complex business problems into scalable, real-world solutions. Core areas of focus include agentic AI and AI agents, generative AI and LLM engineering, workflow automation, retrieval-augmented generation, custom AI software, SaaS products, and cloud engineering.

About the Role

The AI Engineer Intern role is a full-time remote position focused on designing, implementing, and testing AI-driven solutions under the guidance of senior engineers.

Key Responsibilities

• Assisting in building and training machine learning models.
• Experimenting with neural networks and NLP techniques.
• Contributing to pattern recognition tasks for real-world business use cases.
• Developing and integrating AI components into software applications.
• Writing clean and maintainable code.
• Collaborating with the engineering team on agentic AI, generative AI, and workflow automation projects.
• Researching emerging AI tools and frameworks.
• Documenting findings and prototypes.
• Supporting the deployment and monitoring of AI services in cloud environments.

Requirements & Tech Stack

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and programming in languages such as Python or JavaScript.
• Knowledge of Neural Networks and Pattern Recognition, with exposure to machine learning frameworks (e.g., PyTorch, TensorFlow, or similar).
• Familiarity with Natural Language Processing (NLP) concepts and tools, such as tokenization, embeddings, and transformer-based models.
• Understanding of AI and ML fundamentals, including supervised and unsupervised learning, model evaluation, and data preprocessing.
• Experience or coursework related to cloud platforms (e.g., AWS, Azure, or GCP) and APIs is beneficial.
• Ability to analyze problems, learn new technologies quickly, and work collaboratively in a remote environment.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field.
• Clear written and verbal communication skills.
• Interest in building practical, impact-driven AI solutions.