Job Title: Generative AI Engineer
Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA, Jacksonville, FL
Duration: 12+ Months
No C2C W2 Only
Job Summary:
We are seeking an experienced Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern cloud technologies. The ideal candidate will have expertise in building scalable AI applications, integrating foundation models, and developing intelligent automation solutions using Python and cloud platforms.
Key Responsibilities:
Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions.
Develop AI-powered applications using Python and modern AI frameworks.
Integrate OpenAI, Azure OpenAI, AWS Bedrock, Claude, Gemini, or other foundation models.
Design prompt engineering strategies to improve model accuracy and performance.
Collaborate with Data Engineers, Data Scientists, Product Owners, and Solution Architects.
Deploy AI applications using Azure or AWS cloud services.
Ensure AI solutions meet security, scalability, and performance standards.
Participate in code reviews, testing, deployment, and production support.
Required Skills:
Strong experience with Python.
Hands-on experience with Generative AI (GenAI).
Experience working with Large Language Models (LLMs).
Strong knowledge of Retrieval-Augmented Generation (RAG).
Experience with Prompt Engineering.
Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, Claude, or Gemini.
Experience building AI Agents or Agentic AI solutions.
Knowledge of LangChain or LlamaIndex.
Experience with Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, or Milvus).
Experience developing REST APIs using FastAPI or Flask.
Experience deploying applications on AWS or Azure Cloud.
Strong understanding of Microservices Architecture.
Best Regards,
Teresa Rose
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