AI Full Stack Tech Lead (React + LangChain + Python) - Tampa, FL (Remote) - Contract

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Divya Sai

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Jan 14, 2026, 10:12:26 AM (yesterday) Jan 14
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Hi

Please share Updated resume to divya.c@itechus.net

Please go through the below requirement and let me know your interest.

Job Description:

Role: AI Full Stack Tech Lead (React + LangChain + Python)

Location : Tampa, FL (Remote)

Type : Contract

Role:

AI Full Stack Tech Lead (React + LangChain + Python)

  • We are looking for a versatile Full-Stack AI Engineer proficient in both backend and frontend development, with strong experience in AI/ML technologies. The ideal candidate will work closely with cross-functional teams to develop scalable web applications featuring a Node.js and Python backend, React-based frontend, and AI/ML-powered functionalities leveraging tools such as Scikit-learn, TensorFlow, Azure ML, and LangChain.
  • The role requires a passion for cutting-edge machine learning integrations and delivering high-quality, performant software AI systems.

Key Responsibilities :

Backend Development

  • Design, develop, and maintain scalable backend services and APIs primarily using Node.js with TypeScript and Python.
  • Integrate AI/ML models and workflows into backend systems to enable intelligent application features.
  • Ensure robust application architecture, security, and performance optimization.

Frontend Development

  • Build responsive, user-friendly interfaces using React and TypeScript, following best practices and design principles.
  • Collaborate with UX/UI designers and product teams to deliver seamless user experiences.
  • Implement state management, routing, and component libraries to support complex application workflows.

AI/ML Integration

  • Develop and deploy machine learning models using Scikit-learn and TensorFlow, with cloud-based orchestration through Azure ML.
  • Integrate AI functionalities using frameworks like LangChain and JavaScript-based libraries into web applications.
  • Collaborate with data scientists and ML engineers to operationalize AI solutions in production-grade applications.

 

Thanks,

Divya 

 

 

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