**Experienced Full Stack AI Chat Integration Engineer – Web & Cloud Application Development**

At arenaflex, we're pushing the boundaries of innovation, delivering cutting-edge solutions that transform the retail, fashion, footwear, luxury, and consumer goods industries. Our enterprise software applications are designed to meet the unique challenges of the fast-moving consumer goods market, empowering businesses to manage, optimize, and execute their critical processes with ease. We're on a mission to revolutionize the way products are brought to life, from concept to production. Our software solutions streamline the journey, supporting our customers in effectively managing materials, sourcing, quality, and pricing. With arenaflex, businesses can navigate the complexities of product development with confidence and agility. **Join Our Team of Visionaries** We're seeking an Experienced Full Stack AI Chat Integration Engineer to join our R&D | AI & Platform Engineering department. As a key member of our team, you'll design and implement AI-powered chat integrations, collaborating cross-functionally with Product Management, AI/ML Engineers, Cloud Infrastructure, and DevOps teams. If you're passionate about creating type-safe, reusable, and scalable systems that enhance team productivity, we want to hear from you. **About the Role** As an Experienced Full Stack AI Chat Integration Engineer at arenaflex, you'll be responsible for designing and developing chat integration patterns, architecting and implementing scalable chat integration patterns, and working closely with AI/ML teams to optimize real-time customer chat experiences. You'll ensure smooth multi-channel integration across web, mobile, and enterprise platforms, create type-safe APIs & reusable components, and optimize AI feature implementation. **Key Responsibilities** * Design & Develop Chat Integration Patterns * Architect and implement scalable chat integration patterns that seamlessly integrate AI-driven conversational tools into arenaflex's ecosystem. * Work closely with AI/ML teams to optimize real-time customer chat experiences for Pre-Sales, Post-Sales, and Product Support. * Ensure smooth multi-channel integration across web, mobile, and enterprise platforms. * Create Type-Safe APIs & Reusable Components * Develop robust, type-safe APIs for AI-driven interactions, ensuring they are secure, scalable, and efficient. * Build and maintain highly reusable UI components for chat interfaces using React + MobX. * Optimize AI Feature Implementation * Collaborate with AI/ML teams to deploy and optimize AI-powered chat features using real-world data. * Enhance conversational AI models by refining API interactions, chatbot logic, and performance benchmarks. * Drive Containerization & Service Separation * Lead efforts in Docker-based containerization to support microservices architecture and seamless deployment of chat AI modules. * Work on Kubernetes and serverless architectures to ensure AI chatbot services are robust and scalable. * Architect & Improve System Infrastructure * Own and improve the system architecture supporting AI-driven chat and conversational AI. * Ensure AI chat services integrate seamlessly with arenaflex's PLM, CMI, VIP, Planning, CPI, and Personalization modules. * Implement performance optimizations for faster AI inference, lower latency, and improved real-time interaction. * Champion DevOps & CI/CD Best Practices * Optimize CI/CD pipelines for rapid deployment of AI-integrated chatbots. * Work closely with DevOps teams to ensure secure, automated, and efficient deployments. **Technical Requirements & Core Skills** * Programming & Development: + Expertise in TypeScript & Node.js – strong foundation in backend development and type safety. + React + MobX Experience – ability to build and maintain highly responsive and interactive UI components. + Vue.js & Python Knowledge – exposure to other front-end and scripting languages is a plus. + Deep API Design Understanding – experience designing, documenting, and securing scalable RESTful & GraphQL APIs. * Infrastructure & System Architecture: + Containerization (Docker, Kubernetes) – strong experience in microservices and service separation. + Infrastructure Optimization – experience in cloud platforms (AWS, GCP, Azure) to deploy AI-driven chat solutions. + Performance Tuning & Security – ensuring chat solutions are highly performant, scalable, and secure. * DevOps & Automation: + Strong DevOps Mindset – experience with CI/CD tools (Jenkins, GitHub Actions, ArgoCD). + Automated Testing & Deployment – knowledge of tools like Cypress, Jest, or similar for automated UI/API testing. **Requirements** * 5+ years of experience in TypeScript, Node.js, React, and API design * Experience working with AI, Chatbots, or Conversational AI frameworks * Deep knowledge of microservices, containerization, and scalable system architectures * Prior experience working in SaaS, AI, or High-Tech Product organizations * Strong problem-solving mindset with a bias for action and innovation **What We Offer** * Competitive salary range: $170K - $220K USD * Comprehensive benefits package * Opportunities for career growth and professional development * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance * Flexible work arrangements and remote work options **How to Apply** If you're a motivated and experienced Full Stack AI Chat Integration Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! **Equal Employment Opportunity** arenaflex provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information. **Disclaimer** The US base salary range for this full-time position is $170 - 200K base + benefits. Our salary ranges are determined by role, level, and location. The range for each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Candidates who exceed the specified experience and relevant education or training may be considered for compensation above the stated range. Please note that the compensation details listed reflect base salary, and certain positions may be offered additional variable incentives. Apply for this job