Full-Stack AI Engineer (W2)

Hi,

The following requirement is open with our client.

Title                                       : Full-Stack AI Engineer (W2)

Location                               : Tampa, FL (Onsite)

Duration                              : 12+ Months 

Relevant Experience (in Yrs.): 6+

Job Description:

·         We are looking for a versatile Full-Stack AI Engineer proficient in 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 like Scikit-learn, TensorFlow, Azure ML, and Lang chain.

·         The role requires a passion for cutting-edge machine learning integrations and delivering high-quality, performant software. AI System
Key Responsibilities

·         Backend Development:

o    Design, develop, and maintain scalable backend services and APIs primarily using Node.js with TypeScript and Python.

o     Integrate AI/ML models and workflows into backend systems to enable intelligent application features.

o    Ensure robust application architecture, security, and performance optimization.

·         Frontend Development:

o    Build responsive, user-friendly interfaces using React and TypeScript following best practices and design principles.

o     Collaborate with UX/UI designers and product teams to deliver seamless user experiences.

o    Implement state management, routing, and component libraries to support complex application workflows.

·         AI/ML Integration:

o    Develop and deploy machine learning models using Scikit-learn and TensorFlow, with cloud-based orchestration through Azure ML.

o     Integrate AI functionalities using frameworks like Lang chain and JavaScript-based libraries into web applications.

o    Collaborate with data scientists and ML engineers to operationalize AI solutions in production-grade applications.

Must-Have Skills:

·         Backend: Node.js with TypeScript, Python, RESTful APIs, microservices, scalable architecture.

·         Frontend: React.js, TypeScript, responsive UI, state management, routing.

·         AI/ML: Scikit-learn, TensorFlow, LangChain, AI/ML model integration and deployment.

·         Cloud & DevOps: Azure ML (or AWS/Google Cloud Platform), CI/CD pipelines, Docker, performance & security best practices.

·         Software Engineering: Clean, maintainable code, version control (Git), debugging, unit & integration testing.API Testing & CI/CD Integration