Junior AI Engineer

We are expanding our team for an Austin-based client! We are looking for a sharp, entry-level AI Engineer with a strong academic background and a passion for Machine Learning.

? Salary: $65,000 / Year

 Education: Master’s Degree (Required - CS, Data Science, or AI focus)

Experience: 1 Year (Internships/Project experience counts!)

 Location: Must be in the USA

?Key Requirements:

?Strong proficiency in Python and libraries like PyTorch or TensorFlow.

?Experience with LLMs, Prompt Engineering, or RAG frameworks.

?Solid understanding of data structures and ML algorithms.

?Ability to work in a fast-paced, client-facing environment.

?1. Technical Skills (The "Must-Haves")

?Programming: High proficiency in Python (the industry standard for AI). Familiarity with Java or C++ is a significant plus for backend integration.

?AI Frameworks: Hands-on experience with PyTorch or TensorFlow for building and training neural networks.

?Generative AI & LLMs: Understanding of Large Language Models (LLMs), including fine-tuning and using frameworks like LangChain or LlamaIndex to build AI agents.

?Data Science Libraries: Mastery of NumPy, Pandas, and Scikit-learn for data preprocessing and analysis.

?Cloud & Deployment: Basic knowledge of deploying models on AWS, Google Cloud, or Azure. Understanding of Docker for containerization.

?2. Educational Background

?Master’s Degree (Required): Must have a Master's in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field (Mathematics/Statistics).

?Specialization: Preference for candidates with coursework or thesis projects focused on Natural Language Processing (NLP), Computer Vision, or Machine Learning Operations (MLOps).

?3. Experience & Soft Skills

?Experience: At least 1 year of professional experience or high-level internship experience specifically in an AI/ML role.

?Problem Solving: Ability to take a complex educational problem (like personalized learning paths) and translate it into a technical AI solution.

?Mathematical Foundation: Strong grasp of Linear Algebra, Calculus, and Probability, which are essential for debugging model performance.

?Communication: Since Learnebo is a collaborative hub, the candidate must be able to explain "how the AI works" to non-technical team members.