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AI Engineers

QUANTUM TECHNOLOGIES LLCArizona, TX🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

As an AI Engineer at QUANTUM TECHNOLOGIES LLC, you'll leverage your expertise in cutting-edge AI frameworks and cloud platforms to drive impactful projects within a dynamic hybrid environment. This role offers a competitive hourly rate and is perfect for experienced professionals eager to expand their skills in LLMs, prompt engineering, and MLOps while contributing to innovative AI solutions. Apply today to join a forward-thinking team and shape the future of artificial intelligence!

Quick Overview

Salary
€88/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI Engineers

Location: Arizona, TX, USA

Duration: 6 Months + Extension

Bill Rate: $88/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Required Skills:

12+ years of software engineering / AI development experience.

Strong expertise in Python and AI frameworks like TensorFlow, PyTorch, Scikit-learn.

Hands-on experience with LLMs, Prompt Engineering, LangChain, LangGraph, Semantic Kernel.

Experience in OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI platforms.

Strong understanding of NLP, Deep Learning, Neural Networks, and Transformers.

Experience with Vector Databases such as Pinecone, Weaviate, FAISS, Chroma, Milvus.

Knowledge of MLOps tools like MLflow, Kubeflow, Docker, Kubernetes, Airflow.

Experience with SQL / NoSQL databases.

Strong API development experience (FastAPI, Flask, REST services).

Experience working in cloud environments (AWS / Azure / Google Cloud Platform).

Excellent problem-solving and communication skills.

Preferred Qualifications:

Experience leading AI teams or enterprise AI programs.

Exposure to multi-agent AI systems and autonomous workflows.

Experience with Responsible AI / AI Governance frameworks.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Skills

Docker
FastAPI
Flask
SQL
AWS
MLOps
MLflow
NLP
Scikit-learn
Airflow
Azure
Deep Learning
Google Cloud
Kubernetes
PyTorch
Python
REST
TensorFlow

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