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# AI Engineer

- **Company:** Propertyvalue Quantum Technologies Llc
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing Security, Cloud Engineering, Cloud Storage, Identity and Access Management, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Software Engineering, Google Cloud, Chatbots, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, HuggingFace, Google Cloud Functions, Machine Learning Operations, Virtual Agents, Restful APIs, Docker, Microservices
- **Published:** June 25, 2026
- **Apply:** https://www.dice.com/job-detail/152af496-eefb-4e14-b8cf-8091775f8e3d

## About the Role

5+ years of experience in AI/ML Engineering or Software Development.

Hands-on experience with Google Cloud Platform (Google Cloud Platform) services.

Strong experience with Gemini Models, Gemini API, and Generative AI applications.

Experience with Vertex AI, Model Garden, AI Studio, and Agent Builder.

Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, and Hugging Face.

Experience with RAG (Retrieval-Augmented Generation), Vector Databases, and Embedding Models.

Knowledge of Prompt Engineering, Fine-Tuning, and AI Agent development.

Experience building conversational AI, chatbots, and enterprise AI solutions.

Familiarity with REST APIs, Microservices, Docker, and Kubernetes.

Strong understanding of cloud security, IAM, and MLOps practices.

Experience with BigQuery, Cloud Storage, Cloud Functions, and Cloud Run..

## Description

We are seeking an experienced AI Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform) and Gemini AI to design, develop, and deploy scalable AI/ML solutions. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), Vertex AI, Gemini APIs, prompt engineering, and cloud-native AI architectures.


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