QTech US Inc
QTech US Inc

Gen AI Engineer

Remote in Miami Lakes, FL, US • Posted 7 hours ago • Updated 33 minutes ago
Contract W2
On-site
$DOE
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Dice Job Match Score™

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Job Details

Skills

  • AWS
  • Azure
  • GCP
  • Git
  • CI/CD
  • Claude
  • TensorFlow
  • LangChain
  • generative AI
  • Microservices
  • LangGraph
  • NLP
  • Deep Learning
  • Azure OpenAI
  • Docker
  • Kubernetes
  • Llama
  • Prompt Engineering
  • Machine Learning
  • Gemini
  • REST APIs
  • Large Language Models (LLMs)
  • MLOps
  • OpenAI
  • Weaviate
  • **Gen AI Engineer Primary Skills (Comma-Separated Format):** Python
  • RAG (Retrieval-Augmented Generation)
  • Vector Databases (Pinecone
  • ChromaDB
  • FAISS)
  • AI Agents
  • Semantic Search
  • PyTorch.

Summary

Job Title: Gen AI Engineer
Location:Florida, Miami, Georgia, Atlanta,North Carolina, Durham, Virginia, Richmond, Pennsylvania, Pittsburgh
12+Months Contract
NO C2C ONLY W2
Job Summary:
We are seeking a highly skilled Gen AI Engineer to design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native architectures. The ideal candidate will have strong expertise in AI/ML, prompt engineering, model integration, and scalable application development.
Key Responsibilities:
Design and develop Generative AI applications using Large Language Models (LLMs).
Build and optimize Retrieval-Augmented Generation (RAG) solutions.
Develop AI Agents and conversational AI systems.
Integrate OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into enterprise applications.
Implement vector search and semantic retrieval solutions.
Develop and maintain scalable APIs and microservices.
Collaborate with data scientists, engineers, and business stakeholders.
Monitor, optimize, and deploy AI solutions in cloud environments.
Ensure AI security, governance, and best practices.
Required Skills:
Python
Generative AI
Large Language Models (LLMs)
Prompt Engineering
LangChain
LangGraph
Retrieval-Augmented Generation (RAG)
OpenAI / Azure OpenAI
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
REST APIs and Microservices
Git and CI/CD
AWS, Azure, or Google Cloud Platform
Preferred Qualifications:
Experience with Claude, Gemini, or Llama models.
Knowledge of MLOps and AI model deployment.
Experience with Docker and Kubernetes.
Knowledge of Fine-Tuning and Model Optimization.
Experience with Multi-Agent Systems.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
Soft Skills:
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to work independently and within cross-functional teams.
Strong attention to detail and innovation mindset.
Best Regards,
Teresa Rose
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91124817
  • Position Id: 2026-322
  • Posted 7 hours ago

Company Info

About QTech US Inc

QTech is a fast-growing, global, innovative IT Services firm offering end-to-end solutions for all of your IT challenges. We are specialized in Software Development, Business Analysis, Agile Transformation, Data Analytics, Business Intelligence, and Digital Transformation. We provide managed Services to our big and small clients through IT Consulting, Custom Software Development, Data Analytics, and IT Staffing. We provide custom solutions for our clients designed around their specific needs. No two clients are the same to us. Our focus is on providing custom solutions to complex IT business problems with a hands-on approach to create environments and systems that meet our customer's industry-specific needs. We strive to truly partner with our clients by listening first and working through the issues together to allow them to achieve the maximum benefit from their data and technology. We have the best resources and top-notch talent who can optimize and deliver cost-effective solutions to your issues.

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