> Markdown version of [/jobs/ext/3569705-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3569705-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:** R PLUS LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Natural Language Processing, Pattern Recognition, Tensorflow, Software Engineering, Unstructured Data, Software Organization, Google Cloud, Large Language Models, Containerization, Information Technology, Machine Learning Operations, Text Analysis, Software Version Control, Data Pipelines
- **Published:** October 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pou9s4pg9o

## About the Role

* Strong foundation in Computer Science and Software Development, including algorithms, data structures, and coding in languages such as Python, Java, or similar.
 * Proficiency in Neural Networks and Pattern Recognition, with experience building, training, and deploying models using modern machine learning frameworks.
 * Hands-on experience with Natural Language Processing (NLP), including working with Large Language Models and text analytics for practical applications.
 * Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization or orchestration tools for deploying AI solutions at scale.
 * Familiarity with data engineering practices, including data pipelines, ETL processes, and working with structured and unstructured datasets.
 * Ability to write clean, maintainable code, follow software development best practices, and use version control and CI/CD tools.
 * Strong analytical and problem-solving skills, with the ability to translate complex requirements into robust technical solutions.
 * Bachelor's or master's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience.
 * Experience working on public sector, enterprise, or large-scale analytics projects is an advantage.
 * Commitment to collaborative