Full Stack AI Engineer-W2 only preffered

Charlotte, NC, US • Posted 4 days ago • Updated 4 days ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Workflow
  • Prompt Engineering
  • Python
  • React.js
  • Management
  • Microservices
  • Microsoft Azure
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Frontend Development
  • Interfaces
  • API
  • Artificial Intelligence
  • Dashboard
  • Real-time
  • Scalability
  • Streaming

Summary

Job Overview
We are seeking a highly skilled Full Stack AI Engineer with deep expertise in Python, FastAPI, React.js, and Large Language Models (LLMs) to design and build scalable, AI-powered applications. This role involves developing modern microservices architectures and delivering innovative AI-driven solutions for enterprise-scale systems.

Key Responsibilities
Backend & API Development

Design and develop scalable backend services and REST APIs using Python (3.x) and FastAPI
Build and maintain microservices architecture for AI/ML applications
Develop robust API integrations across systems
Optimize performance, scalability, and reliability of backend services

AI/ML & LLM Development
Develop and integrate LLM-based solutions (OpenAI, Azure OpenAI, Claude, etc.)
Implement Retrieval-Augmented Generation (RAG) pipelines and vector search solutions
Apply prompt engineering and agentic workflows to enhance AI capabilities
Optimize model performance, response quality, and latency

Frontend Development
Build responsive and dynamic user interfaces using React.js
Develop interactive components such as chatbots, dashboards, and AI assistants
Integrate backend APIs and support real-time/streaming data interactions
Utilize modern React practices such as hooks and state management

Required Skills & Experience
10+ years of overall IT experience
Strong hands-on experience in Python (3.x)
Expertise in FastAPI for API and microservices development
Strong frontend development experience using React.js (hooks, state management)
Proven experience with REST APIs and microservices architecture
Hands-on experience with Large Language Models (LLMs) and Generative AI
Years of Experience:    9.00 Years of Experience

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: 10221428
  • Position Id: 57100-1
  • Posted 4 days ago
Contact the job poster
RN

Reshmi Nair

Recruiter @ Tektree Systems Inc.
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