AI Engineer Intern

AI Engineer Intern

Role Type

Internship

About the Role

We are looking for an enthusiastic AI Engineer Intern to support our Artificial Intelligence

team with a primary focus on an AI Video Generation Project. The intern will work on

generative AI workflows involving text-to-video image-to-video script generation scene

creation visual storytelling prompt engineering and AI-based media enhancement.

The role will mainly focus on AI video and generative media while also providing exposure

to broader AI initiatives involving Large Language Models deep learning computer

vision image generation automation and applied AI workflows.

Key Responsibilities

Assist in researching testing and comparing AI models and tools for video

generation image generation and generative media workflows.

Provide primary support for the AI Video Generation Project including text-to-video

image-to-video prompt-to-scene and script-to-video.

Work with Large Language Models to generate video scripts scene descriptions

prompts captions storyboards summaries and structured content.

Experiment with generative AI and deep learning models for video image audio

and text-based use cases.

Evaluate AI-generated videos based on visual quality consistency motion realism

relevance artifacts and business usefulness.

Write test and improve prompts for LLMs image generation models and video

generation models.

Work with Python-based AI libraries and frameworks where required.

Research new AI video tools generative models libraries and workflows and

present findings clearly to the team.

Required Skills and Knowledge

Basic understanding of Artificial Intelligence Machine Learning and Deep

Learning.

Familiarity with Large Language Models prompt engineering and generative AI

concepts.

Understanding of neural networks computer vision image processing or natural

language processing.

Strong interest in AI video generation image generation generative media and

applied AI projects.

Basic understanding of video concepts such as frames resolution aspect ratio

rendering transitions and compression.

Ability to research new AI tools models frameworks and APIs.

Good problem-solving and analytical thinking skills.

Willingness to learn and work on experimental AI technologies.

Basic understanding of APIs and how AI services can be integrated into

applications.

Good to Have

Experience with tools or models such as Stable Diffusion Runway Pika Kling

ComfyUI AnimateDiff Hugging Face OpenAI APIs Gemini APIs or similar AI

platforms.

Familiarity with frameworks such as PyTorch TensorFlow OpenCV Hugging Face

or LangChain.

Familiarity with computer vision models such as YOLO object detection image

classification segmentation or object tracking is a plus.

Understanding of audio generation text-to-speech speech-to-text embeddings

vector databases or RAG systems is a plus.

Personal academic or freelance projects related to AI generative AI video

generation image generation or LLM-based applications will be preferred.

Learning Outcomes

By the end of the internship the intern should gain practical experience in:

Working on AI-powered video generation and generative media workflows.

Using LLMs for prompts scripts storyboards summaries structured outputs and

content generation.

Testing and comparing different AI video image and generative AI models.

Understanding how deep learning and generative AI models are used in real-world

AI products.

Qualification

Currently enrolled in or recently completed a degree in Artificial Intelligence from

FAST or NUST.

Fresh graduates with strong AI interest and hands-on project experience are also

encouraged to apply.