Junior AI Engineer: Build Generative AI Apps in Python

Emonics LLC; San Antonio (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

Emonics LLC is seeking a Junior AI Engineer who loves AI, ML, and Generative AI to join our team in Texas. The role focuses on building Python-based AI applications, integrating LLMs, and implementing AI-powered solutions.

You will work with TensorFlow, PyTorch, Scikit‑learn, and LangChain, gaining hands-on experience in data preprocessing, model training, and API development within real-world projects.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, AI, Data Science, or a related field.
• Good knowledge of Python programming.
• Basic understanding of Artificial Intelligence, Machine Learning, and Deep Learning.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow/PyTorch.
• Basic understanding of REST APIs, JSON, and database concepts.

Responsibilities

• Assist in designing, developing, and implementing AI and Machine Learning solutions.
• Work with Large Language Models (LLMs), Generative AI, and AI-powered applications.
• Develop and maintain Python-based AI applications and APIs.
• Work with frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, and LangChain.
• Explore and implement AI tools, chatbots, and automation solutions.
• Assist in data preprocessing, model training, testing and evaluation.
• Integrate AI models and third‑party APIs into existing applications.
• Research emerging AI technologies and contribute innovative ideas.
• Collaborate with the development team to build scalable and efficient AI solutions.

Skills

Python

AI/ML concepts

REST APIs

Data preprocessing

Education

Bachelor's degree in CS/IT/AI/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

Job description

Emonics LLC is seeking a Junior AI Engineer who loves AI, ML, and Generative AI to join our team in Texas. The role focuses on building Python-based AI applications, integrating LLMs, and implementing AI-powered solutions.

You will work with TensorFlow, PyTorch, Scikit‑learn, and LangChain, gaining hands-on experience in data preprocessing, model training, and API development within real-world projects.