[Remote] GenAI Full Stack Developer/ BQML (Contract to Hire) – Remote Hybrid – Western States Residents only

Note: The job is a remote job and is open to candidates in USA. e360 is a consulting company focused on cloud services, leading technologies, and innovative technology solutions. The GenAI Full Stack Developer will design and deliver scalable enterprise web applications using React, Next.js, and TypeScript while supporting intelligent document processing. The role also involves integrating APIs, Python, AI, and large language models, improving application architectures, and leading technical workstreams.

Responsibilities

• Design, build, test, and deploy enterprise applications using React, Next.js, and TypeScript
• 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 workstreams and provide design reviews, code reviews, and mentoring
• Participate in client discovery, requirements analysis, demonstrations, deployment, and knowledge transfer

Skills

• MUST have 'Machine Learning Big Querry' experience!
• MUST be US Citizen or Green Card Holder
• Advanced experience with React, Next.js, TypeScript, API integration, and modular application architecture
• Google Vertex AI, Bigquery, ML
• Hands-on experience deploying and operating applications on cloud infrastructure (Google, Functions, or containers)
• Experience with SQL and/or NoSQL databases
• Advanced experience with React, Next.js, TypeScript, 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, TanStack 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
• 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 document intelligence, OCR, and AI services from Python
• Large Language Models and their use in document extraction, classification, summarization, and validation
• Prompt design, structured model outputs, and hallucination risks
• The differences between OCR, trained document models, and LLM-based extraction
• Data privacy, accuracy, latency, cost, and human-in-the-loop considerations
• Deep AI or data-science experience is not required
• Strong application-design and problem-solving skills
• Ability to translate business requirements into practical software designs
• Strong consulting, communication, documentation, and code-review skills
• Ability to independently own technical workstreams
• Ability to identify architectural risks, technical debt, and delivery blockers
• Ability to mentor developers and establish consistent engineering practices
• Ability to independently deliver production-ready React and Next.js applications
• Strong understanding of modular enterprise application architecture
• Ability to create reusable patterns without unnecessary complexity
• Ability to integrate Intelligent Document Processing into enterprise applications
• Practical understanding of Python, AI, and LLM-supported document workflows
• Commitment to code quality, testing, accessibility, security, performance, and maintainability
• Experience leading enterprise React or Next.js projects
• Experience modernizing or refactoring large frontend codebases
• Experience with document-management, case-management, or workflow applications
• Experience with Azure AI Document Intelligence, Amazon Textract, or comparable services
• Experience with Azure OpenAI, Amazon Bedrock, or other hosted LLM services
• Experience with FastAPI, Flask, Node.js, or backend API development
• Experience with AWS or Azure application hosting and integration services
• Cloud experience is helpful but is not the primary focus of the role

Benefits

• Ample opportunities for professional development and growth suited to each individual’s personal and professional goals.
• Internal trainings and subsidized external trainings.
• Reimbursement of the cost of technology certification exams and/or renewals.
• Work life fit as a core value.
• Numerous opportunities to interface with senior leadership.
• Mentorship internally or through introductions through external networks to support your growth.

Company Overview