We’re looking for a Full Stack Engineer to help build and scale our AI Cloud SaaS platform, 
which empowers users to design, train, and deploy tiny ML models for edge devices. You’ll 
work on features that bridge cloud infrastructure, machine learning workflows, and 
intuitive user interfaces — enabling our customers to go from data to deployment 
seamlessly.
You’ll collaborate with AI engineers, architects, and DevOps teams to deliver performant, 
secure, and scalable software across the stack.Key ResponsibilitiesDesign, build, and maintain end-to-end features across frontend, backend, and cloud layers.Develop user-friendly, performant web interfaces for managing datasets, models, and deployments.Implement scalable backend APIs and microservices to orchestrate ML workflows.Integrate with AI pipelines, storage services (S3, MongoDB, etc.), and compute environments.Build and optimize CI/CD pipelines for fast, reliable delivery.Ensure robust security, access control, and data integrity within the platform.Monitor, troubleshoot, and improve performance and reliability of deployed services.Core TechnologiesFrontend: React.js, TypeScript, TailwindCSS, REST APIsBackend: Python (FastAPI / Flask) or Node.js (Express / Fastify), microservices architectureDatabase: MongoDB, PostgreSQL, RedisCloud: AWS (Lambda, ECS, S3, Step Functions, CloudWatch, API Gateway)Containerization: Docker, KubernetesVersion Control: Git, GitHub
