Full Stack Engineer (AI-First Platform) 5 Years Experience

• Experience: 3–5 Years
• Location: Coimbatore, India 
• Company: Xploro
• About Xploro

Xploro is an AI-powered Customer Experience (CX) platform helping enterprise retailers turn unstructured customer feedback—reviews, emails, social media, calls—into actionable insights and automation. We work with leading brands across retail, jewellery, D2C, and financial services, building scalable, AI-driven CX systems.

Role Overview

Were looking for a Full Stack Developer with strong backend depth, frontend craftsmanship, and a solid understanding of AI/GenAI workflows. You will play a key role in building scalable systems, defining architecture, and shipping production-grade features used by enterprise customers.

• Key Responsibilities
• Design, build, and scale backend services using Python
• Develop clean, responsive frontend interfaces using React
• Work on system architecture for scalable, multi-tenant enterprise systems
• Integrate AI / GenAI components (LLMs, embeddings, classification, summarization pipelines)
• Build APIs and data pipelines for handling large volumes of unstructured data
• Optimize performance, security, and reliability of the platform
• Collaborate closely with product, CX, and AI teams
• Own features end-to-end—from design to deployment
• Required Skills
• 3–5 years of experience as a Full Stack Developer
• Strong backend experience with Python (FastAPI / Django / Flask preferred)
• Strong frontend experience with React.js
• Experience designing and working with scalable systems
• Solid understanding of REST APIs, async processing, and microservices
• Hands-on experience with databases (PostgreSQL / MongoDB / Redis)
• Familiarity with cloud infrastructure (AWS / GCP / Azure)
• Working knowledge of AI / GenAI concepts (LLMs, vector databases, embeddings)
• Good to Have
• Experience with AI-driven products or SaaS platforms
• Knowledge of NLP, sentiment analysis, or text classification
• Experience with Docker, CI/CD, and cloud deployments
• Exposure to event-driven architectures or streaming systems
• Startup or product-led company experience
• What We Offer
• Opportunity to build a category-defining AI CX platform
• Ownership of architecture and core systems
• Work directly with founders and enterprise customers
• High-impact role with fast learning and growth