AI Engineer Full Stack

Overview

On Site
$50 - $60
Contract - W2
Contract - 24 Month(s)

Skills

react js.
Python
LLM
AI/ML
restful API
OpenAI
Lang Chain
AWS
AZURE
Docker
Kurbernetes

Job Details

Notes: AI Engineer Full Stack, Python, React.js, and LLM (Large Language Models)

Key Responsibilities:

  • Design and develop full-stack AI-driven applications using React.js (frontend) and Python (backend).
  • Integrate and fine-tune Large Language Models (LLMs) for various enterprise use cases.
  • Build and deploy APIs and microservices that connect AI/ML components with front-end systems.
  • Collaborate with data scientists, ML engineers, and product teams to translate AI models into production-ready applications.
  • Optimize application performance, security, and scalability across cloud environments.
  • Conduct code reviews, unit testing, and maintain best practices in AI application development.

Required Skills & Experience:

  • 5+ years of full-stack development experience.
  • Strong proficiency in Python, React.js, JavaScript/TypeScript, and RESTful APIs.
  • Hands-on experience with LLMs, OpenAI, Lang Chain, or similar frameworks.
  • Solid understanding of AI/ML model integration and deployment best practices.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker, Kubernetes).
  • Strong problem-solving, communication, and collaboration skills.

Preferred Skills:

  • Experience with agentic AI frameworks or multi-agent architectures.
  • Exposure to Vector Databases (Pinecone, FAISS, Chroma) and prompt engineering.
  • Knowledge of Fast API, Flask, or Django for backend services.
  • Experience with CI/CD pipelines and modern DevOps practices
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.