Artificial Intelligence Intern (AI)

TL;DR

Artificial Intelligence Intern (AI): Developing an Agentic AI framework to standardize natural language requirements with an accent on prompt tuning and RAG methodologies. Focus on implementing and fine-tuning open-source LLMs to enhance requirement domain-specific generation and retrieval efficiency.

Company

hirify.global is a technology and electronics company specializing in software-defined vehicles, sensor solutions, and autonomous driving systems, formed as an independent entity from the former Continental automotive sector.

What you will do

• Design and implement an Agentic AI framework for normalizing natural language requirements.
• Develop and optimize RAG pipelines to enhance knowledge retrieval from multiple sources.
• Fine-tune open-source LLMs and perform iterative experimentation to improve model performance.
• Collect, preprocess, and manage diverse datasets for model training and validation.
• Create evaluation metrics to rigorously test and compare model effectiveness against existing methods.
• Document methodologies and project results, presenting findings to stakeholders.

Requirements

• Current undergraduate or master’s student in Computer Science, Data Science, Machine Learning, Robotics, or a related field.
• Strong programming proficiency in Python.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning and natural language processing techniques.
• Ability to work independently and collaboratively in a team environment.
• Excellent written and verbal communication skills.

Nice to have

• Prior experience with Generative AI models or Agentic AI.
• Familiarity with libraries such as LangChain, LangGraph, Gradio, or Streamlit.
• Knowledge of storage and retrieval mechanisms in vector databases.
• Prior involvement in AI-related research or practical projects.

Culture & Benefits

• Collaboration with experienced practitioners and researchers in the automotive AI space.
• Hands-on experience with state-of-the-art Generative AI and Agentic AI technologies.
• Opportunity to contribute to pioneering research in real-world requirements engineering.
• Exposure to large-scale, innovative software-defined vehicle projects.