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# Front End AI Engineer

- **Company:** Globalization Partners
- **Location:** Seattle, WA, United States
- **Salary:** $117,600.0 - $147,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Software, Software as a Service, Cloud Computing, Cloud Engineering, Continuous Delivery, Continuous Integration, Web Development, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Natural Language Processing, Node.Js, Systems Development Life Cycle, OpenAI, Next.js, Requirements Management, Systems Integration, TypeScript, User-Centered Design, Web Applications, Web Application Frameworks, Scripting, ReactJS, Delivery Pipeline, Large Language Models, Generative AI, Backend, Information Technology, Front End Software Development, Restful APIs, Automation Anywhere, Serverless Computing, Golang
- **Published:** October 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/front-end-ai-engineer-seattle-wa--3d8623ae-9c46-4c3f-bc46-d97f5b269f05

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 * Expertise in fullstack web development using frameworks like React, Next.js, or TypeScript.
 * Strong understanding of UX Design, contributing to intuitive and aesthetically pleasing user interfaces for AI products.
 * Deep adherence to frontend development UI/UX best practices and a user-centered design approach.
 * Proven experience integrating Generative AI, LLM APIs (e.g., OpenAI, Anthropic, Bedrock), and vector databases into web applications.
 * Competence in backend development using Python, NodeJS, or Go, with experience in creating RESTful APIs and scalable backend services.
 * Experience with building and deploying scalable, production-grade applications.
 * Ability to manage continuous integration and deployment pipelines (CI/CD) to cloud platforms.
 * Excellent communication skills and a proactive, solution-oriented mindset.
 * Ability to balance speed and quality, with ownership in a fast-moving environment.

Preferred Qualifications:

 * Experience with AWS or similar cloud platforms, focusing on cloud architecture, serverless integrations, and backend infrastructure.
 * Knowledge of natural language processing for legal or business applications is a plus.
 * Experience in Product Management or an entrepreneurial mindset is a big plus, especially if you enjoy taking ownership of features and working to identify user needs and translate them into compelling AI solutions., Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Benchmarking, Best Practices, Business Solutions, Cloud Architecture, Cloud Computing, Communication Skills, Compensation and Benefits, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Science, Entrepreneurship, Go Programming Language (Golang), International Business, Internet Application, JavaScript, Legal, Natural Language Processing (NLP), Needs Assessment, Node.js, Onboarding, Product Design, Product Management, Python Programming/Scripting Language, REST (Representational State Transfer), React.js, Requirements Management, Sales, Scalable System Development, Software as a Service (SaaS), Team Lead/Manager, User Experience Design (UXD), User Interface/Experience (UI/UX), Web Application Framework, Web Programming

## Description

A day in the life of a Front End AI Engineer at G-P involves designing, developing, and deploying scalable web applications and AI workflows. You will be contributing to key architectural decisions to ensure responsive and intuitive user interfaces while making sure that user-centered design principles are adhered to. You'll collaborate closely with product managers, designers, and AI/ML engineers to drive the product vision, identify user needs, and translate those needs into beautifully designed and impactful features. You will work with backend services using Python, NodeJS, and Go, and leverage cloud infrastructure tools, particularly in AWS.