GenAI Full Stack Developer

Rate: $90 - $100/ Hour – Depending on Experience

MUST have 'Machine Learning Big Query' experience!

MUST reside in Western United States - no relocation!

Note:

MUST be US Citizen or Green Card Holder

*** NO RECRUITING AGENCIES***

*** NO Corp-to-Corp***

*** NO Sponsorship available***

The Full Stack Engineer is a hands-on consultant responsible for designing and delivering scalable enterprise web applications.

This role requires advanced experience with React, Next.js, Type Script, API integration, and modular application architecture. The engineer will also support Intelligent Document Processing solutions and should understand how Python, AI, and Large Language Models can be used in document workflows.

• Design, build, test, and deploy enterprise applications using React, Next.js, and Type Script.
• Create modular, reusable, and maintainable application architectures.
• Build shared components, hooks, services, utilities, and design-system patterns.
• Design scalable approaches for routing, state management, data fetching, forms, validation, and error handling.
• Integrate applications with APIs, authentication systems, enterprise data sources, and document-processing services.
• Build document upload, review, correction, approval, and exception-management experiences.
• Use Python to support document ingestion, extraction, validation, transformation, and integration.
• Apply AI and LLM capabilities to document classification, extraction, summarization, and validation where appropriate.
• Improve existing codebases by reducing duplication, tight coupling, inconsistent patterns, and technical debt.
• Implement automated testing, CI/CD, logging, monitoring, security, and performance practices.
• Own technical work streams and provide design reviews, code reviews, and mentoring.
• Participate in client discovery, requirements analysis, demonstrations, deployment, and knowledge transfer.

• Google Vertex AI, Bigquery, ML
• Hands-on experience deploying and operating applications on cloud infrastructure (Google, Functions, or containers).
• 
  
  Experience with SQL and/or No
  
  SQL databases
• Advanced experience with React, Next.js, Type Script, and modern JavaScript.
• Strong understanding of React composition, hooks, rendering, and component design.
• Experience with Next.js App Router, server and client components, route handlers, middleware, and server-side rendering.
• Demonstrated ability to design modular enterprise applications with clear separation of concerns.
• Experience building reusable component libraries and working with design systems.
• Experience integrating REST APIs, backend services, and third-party platforms.
• Experience with state-management and data-fetching tools such as Redux Toolkit, Zustand, Tan Stack Query, or similar technologies.
• Experience building complex forms, validation workflows, and data-review interfaces.
• Experience with authentication and authorization using OAuth, OpenID Connect, JWTs, sessions, or role-based access.
• Working experience with Python for APIs, automation, data processing, or document workflows.
• Experience with Git, automated testing, CI/CD, and production deployment.
• Ability to evaluate tradeoffs involving maintainability, performance, scalability, security, and delivery speed.

Candidates should have practical experience with or an understanding of:

• OCR, document classification, field and table extraction
• Structured and unstructured document processing
• Confidence scoring, validation rules, and human review
• Document status tracking, exception handling, and audit history
• Python-based document ingestion, preprocessing, parsing, and transformation
• Calling…