AI Engineer

QUANTUM TECHNOLOGIES LLC
Dallas, United States of America
23 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Dallas, United States of America

Tech stack

API
Artificial Intelligence
Google BigQuery
Cloud Computing Security
Cloud Engineering
Cloud Storage
Identity and Access Management
Python
Machine Learning
Performance Tuning
TensorFlow
Software Engineering
Google Cloud Platform
Chatbots
PyTorch
Retrieval-Augmented Generation
Large Language Models
Prompt Engineering
Generative AI
Kubernetes
HuggingFace
Google Cloud Functions
Machine Learning Operations
Virtual Agents
REST
Docker
Microservices

Job 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.

Requirements

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..

Apply for this position