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# AI Engineer

- **Company:** Rootshell Enterprise Technologies Inc.
- **Location:** San Mateo, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Computer Programming, Databases, Continuous Integration, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Tensorflow, Software Deployment, SQL Databases, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Git, Build Management, Containerization, HuggingFace, Restful APIs, Docker
- **Published:** August 18, 2026
- **Apply:** https://www.dice.com/job-detail/8543eb4c-3306-4332-98e8-6a8b56e1b6fe

## About the Role

* Strong Python programming skills.
 * Understanding of machine learning and deep learning concepts.
 * Experience with LLMs, Generative AI, prompt engineering, and RAG.
 * Familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex.
 * Knowledge of REST APIs and backend development.
 * Experience with SQL and databases.
 * Familiarity with vector databases and embedding models.
 * Knowledge of Docker and cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Understanding of Git, CI/CD, testing, and production deployment.

## Description

We are looking for an AI Engineer to design, develop, deploy, and maintain AI-powered applications and machine learning solutions. The ideal candidate should have strong programming skills, experience with machine learning and generative AI, and the ability to integrate AI models into scalable production systems., * Design and develop AI/ML solutions for business requirements.

 * Build and deploy Generative AI and LLM-based applications.
 * Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
 * Integrate AI models through APIs and cloud services.
 * Develop AI agents and tool-calling workflows.
 * Train, fine-tune, evaluate, and optimize machine learning models when required.
 * Work with data scientists, software engineers, and product teams.
 * Build APIs and backend services for AI applications.
 * Implement model evaluation, monitoring, security, and performance optimization.
 * Deploy AI applications using cloud platforms and containerization technologies.
 * Stay current with emerging AI/ML technologies and best practices.


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