Job Description: Junior AI Engineer

Job Title: Junior AI Engineer
Experience: 0–5 Years
Location: Texas
Employment Type: Full-Time

Job Overview

We are looking for a motivated and enthusiastic Junior AI Engineer to join our growing team. The ideal candidate should have a strong foundation in Python programming, Machine Learning, Artificial Intelligence, and data analysis. Candidates should be interested in developing AI-powered applications, working with Large Language Models (LLMs), and implementing intelligent automation solutions.

Entry Level Candidates with relevant academic projects, internships, or practical experience in AI and Machine Learning are encouraged to apply.

Key Responsibilities

• Develop, test, and implement AI and Machine Learning models.

• Write clean and efficient Python code for AI-based applications.

• Work with structured and unstructured datasets for data processing and analysis.

• Assist in building and training Machine Learning and Deep Learning models.

• Work with Generative AI, Large Language Models (LLMs), and Prompt Engineering.

• Develop AI-powered applications using frameworks and APIs.

• Explore and implement NLP techniques for text processing.

• Collaborate with development teams to integrate AI solutions into applications.

• Evaluate model performance and improve accuracy.

• Maintain technical documentation and participate in code reviews.

Required Technical Skills

• Basic to intermediate knowledge of Python programming.

• Understanding of Machine Learning concepts and algorithms.

• Knowledge of NumPy, Pandas, and Scikit-learn.

• Basic understanding of Deep Learning and Neural Networks.

• Familiarity with SQL and database concepts.

• Understanding of Natural Language Processing (NLP).

• Knowledge of Generative AI, LLMs, and Prompt Engineering.

• Familiarity with TensorFlow or PyTorch.

• Basic understanding of REST APIs and Git/GitHub.

Preferred Skills

• Exposure to OpenAI API or other LLM APIs.

• Familiarity with LangChain and Retrieval-Augmented Generation (RAG).

• Knowledge of vector databases such as Pinecone, FAISS, or ChromaDB.

• Basic cloud knowledge (AWS, Azure, or Google Cloud)\

If you are interested in this opportunity, please call me and email your updated resume at your earliest convenience:

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