> Markdown version of [/jobs/ext/4293411-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4293411-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** Pioneer Consulting Services LLC
- **Location:** Plano, TX, United States
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Integration Architecture, Software Applications, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Software Systems, Software Organization, Feature Engineering, Pytorch, LangChain, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Keras, Pandas, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Restful APIs, Docker
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/01a56c1e-6de2-49b5-9d8d-4cef1aef7f44

## About the Role

Apply understanding of machine learning concepts, data preprocessing, feature engineering, and model evaluation.

 - Use familiarity with deep learning frameworks (TensorFlow, PyTorch, Keras) and database/SQL skills.
 - Leverage experience with REST APIs and application integration.
 - Demonstrate strong analytical, problem-solving, and communication skills.
 - Preferred: experience with Generative AI, LLMs, LangChain, Hugging Face, cloud platforms, Docker, Kubernetes, MLOps, and CI/CD pipelines.
 - Education: Bachelor's or Master's in Computer Science, AI, Data Science, IT, or related field; relevant projects or internships are a plus.

## Description

Design, develop, test, and deploy AI and machine learning models and solutions.

 - Build AI-powered applications using Python and AI frameworks.
 - Collect, clean, process, and analyze data for AI model training and evaluation.
 - Implement machine learning and deep learning algorithms to solve real-world problems.
 - Work with Large Language Models (LLMs), Generative AI, and prompt engineering techniques.
 - Integrate AI models into existing software systems using APIs.
 - Evaluate and improve AI model performance, accuracy, and efficiency.
 - Collaborate with cross-functional teams, including software engineers, data scientists, and product teams.
 - Maintain technical documentation and adhere to software development best practices.
 - Support the deployment, monitoring, and continuous improvement of AI models.
 - Utilize strong programming skills in Python and knowledge of relevant libraries (e.g., Pandas, NumPy, Scikit-learn).