AWS Engineer Contract

6 days ago

Bangalore, India Eazy AI Full time

IMMEDIATE JOINERS WOULD BE PREFERRED. FULL-TIME HYBRID ROLE IN 3 DAYS IN OFFICE IN WHITEFIELD BENGALURU. Eazy AI is a conversational AI platform transforming online shopping across the Middle East and South Asia. Eazy AI is cofounded by serial entrepreneurs having worked with world-class organizations like Amazon, Nvidia, OYO and from top colleges like XLRI and BITS. We've secured pre-seed funding from angel investors and are expanding rapidly across fashion retail markets. We are seeking a highly skilled Full Stack AI Developer to join our team and execute the development of EazyAI, an innovative plug-and-play AI assistant platform for conversational commerce. You will be responsible for building and maintaining the complete technology stack from frontend chat widgets to AI-powered backend services, working across React, Node.js, Azure AI services, and AWS infrastructure. Frontend Development •Develop and maintain MERN stack based chat SDK and admin portal components •Build embeddable JavaScript widgets optimized for cross-domain integration •Implement responsive UI/UX for chat interfaces with real-time messaging capabilities Backend Architecture •Design and implement Microservices APIs for chat SDK integration •Develop webhook systems for bidirectional event communication with client websites •Integrate AI models for chat and recommendations •Implement RAG (Retrieval-Augmented Generation) pipelines using PostgreSQL •Develop personalized recommendation engines using machine learning models Data & Infrastructure •Handle CDN deployment and optimization using AWS S3 and CloudFront •Manage AWS infrastructure including EC2, ECS, CDN, Sagemaker, etc •Develop data pipelines for product enrichment and recommendation model training 2-4 years of full-stack development experience with React and Node.js •Strong proficiency in JavaScript/TypeScript, RESTful APIs, and webhook implementations •Experience with containerization (Docker) and cloud platforms (AWS/Azure) •Knowledge of PostgreSQL, vector databases, and SQL optimization •Understanding of AI/ML integration, particularly with language models and recommendation systems AI & Machine Learning •Experience with transformer models, RAG architectures, and multimodal AI systems •Understanding of model deployment, monitoring, and performance optimization DevOps & Infrastructure •Experience with AWS services (ECS, S3, CloudFront, ALB, RDS) •Knowledge of CI/CD pipelines, Infrastructure as Code, and monitoring solutions •Understanding of security best practices, authentication, and data compliance •Experience with multi-tenant architecture and client isolation patterns Experience building embeddable widgets or third-party integrations •Experience with Redis caching, CDN optimization, and performance tuning •Understanding of GDPR, data privacy, and enterprise security requirements Work with modern tech stack and cloud-native architecture •Competitive salary and comprehensive benefits package

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