AI Engineer Intern

About NexGen Tech Solutions

NexGen Tech Solutions is a global IT services, AI engineering, and digital transformation company.

Job Summary

We are seeking a highly motivated and enthusiastic AI Engineer Intern to join our technology team. This internship provides hands-on exposure to real-world AI projects, modern AI frameworks, and emerging technologies.

Key Responsibilities

• Assist in designing, developing, and implementing AI/ML models and applications.
• Work with Large Language Models (LLMs) and Generative AI technologies.
• Develop and test AI-powered applications using Python and relevant frameworks.
• Support the development of Retrieval-Augmented Generation (RAG) pipelines, AI chatbots, and conversational AI systems.
• Explore prompt engineering techniques.
• Assist in integrating AI models with applications through REST APIs.
• Perform data preprocessing, cleaning, transformation, and exploratory data analysis.
• Experiment with open-source AI models and APIs, including OpenAI, Hugging Face, and other LLM platforms.
• Support model evaluation, testing, debugging, and performance optimization.
• Collaborate with software engineers, data scientists, and product teams.
• Document technical workflows, experiments, and project outcomes.
• Stay updated with emerging trends in Artificial Intelligence and Generative AI.

Requirements & Tech Stack

Programming & Development

• Good understanding of Python programming.
• Familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
• Basic understanding of REST APIs, Git, and software development practices.

Artificial Intelligence & Machine Learning

• Fundamental knowledge of Machine Learning algorithms and concepts.
• Understanding of supervised and unsupervised learning.
• Basic knowledge of Deep Learning and Neural Networks.
• Familiarity with TensorFlow or PyTorch.

Generative AI & LLMs

• Basic understanding of Generative AI and Large Language Models.
• Familiarity with prompt engineering concepts.
• Awareness of LLM frameworks such as LangChain or LlamaIndex.
• Basic understanding of embeddings, vector databases, and RAG architecture.

Data & Databases

• Basic SQL knowledge.
• Understanding of data preprocessing and data analysis.
• Familiarity with JSON and structured/unstructured datasets.

Good to Have Skills

• Experience with OpenAI APIs, Hugging Face Transformers, or open-source LLMs.
• Exposure to vector databases such as FAISS, ChromaDB, or Pinecone.
• Understanding of AI agents and agentic workflows.
• Familiarity with FastAPI, Flask, or Streamlit.
• Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of Docker and AI model deployment.
• Experience with academic projects, personal AI applications, or GitHub contributions.
• Familiarity with model evaluation, hallucination mitigation, and responsible AI practices.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
• Strong analytical and problem-solving abilities.
• Good understanding of programming fundamentals and data structures.
• Ability to learn new technologies quickly.
• Strong communication skills and willingness to collaborate in a team environment.
• Passion for Artificial Intelligence, Generative AI, and emerging technologies.

What You Will Gain

• Practical experience developing real-world AI and Generative AI applications.
• Hands-on exposure to LLMs, RAG, prompt engineering, and modern AI frameworks.
• Opportunity to work alongside experienced AI engineers and technology professionals.
• Experience with AI model integration, testing, evaluation, and deployment.
• Exposure to industry-standard development practices and collaborative engineering workflows.
• Opportunity to contribute to innovative AI-driven products and solutions.