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# Temporary AI Engineer

- **Company:** Florida International University
- **Location:** Miami, FL, United States
- **Salary:** $62,400.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Computer Vision, Computer Programming, Databases, Computer Engineering, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Tensorflow, Software Engineering, Chatbots, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, Information Technology, Data Analytics, Virtual Agents, GPT, Data Generation
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7969790de635652a

## About the Role

Bachelor's degree with 2 years' experience or master's degree in computer science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or a related field.

 * Strong programming experience in Python.
 * Fundamental knowledge of Machine Learning and Deep Learning.
 * Experience or coursework in LLMs, Generative AI, or AI/ML model development.
 * Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
 * Basic understanding of LLM frameworks, RAG, embeddings, vector databases, or AI agent architectures., * Strong analytical, problem-solving, and software development skills.
 * Knowledge of Agentic AI, LLMs, Generative AI, ML, and Deep Learning.
 * Ability to develop and integrate AI models and applications.
 * Ability to work effectively in a collaborative, interdisciplinary research environment.
 * Strong written and verbal communication skills.
 * Ability to learn and apply emerging AI technologies.

## Description

Job Summary: AI Engineer to support the design, development, integration, and evaluation of advanced artificial intelligence systems, with a focus on Agentic AI, Large Language Models (LLMs), Generative AI, Machine Learning (ML), and Deep Learning (DL). The candidate will work closely with interdisciplinary research teams to develop intelligent AI applications, autonomous agents, data-driven models, and AI-enabled solutions for research and real-world applications., * Develop and evaluate AI agents capable of reasoning, planning, tool use, decision-making, and autonomous task execution.

 * Design and implement LLM-based applications, including Retrieval-Augmented Generation (RAG), conversational AI, document intelligence, and knowledge-based systems.
 * Develop and train machine learning and deep learning models for classification, prediction, anomaly detection, computer vision, and data analytics.
 * Implement Generative AI solutions for text, images, synthetic data generation, and multimodal applications.
 * Integrate AI models with databases, APIs, software platforms, simulations, and other computational systems.
 * Conduct experiments, evaluate AI model performance, and contribute to technical reports, research publications, and project deliverables.