Join our team as an AI/ML Engineer focused on building cutting-edge applications and systems powered by AI. You will leverage Cloud AI services and implement robust cloud or on-premise application pipelines with production-ready quality. A key aspect of this role involves applying Generative AI models to develop innovative solutions, potentially including deep learning, neural networks, chatbots, and image processing.

We are seeking individuals with hands-on experience in building complete user-facing AI products, encompassing frontend, backend, AI orchestration, data integration, and deployment. Proficiency with tools like v0, Lovable, Bolt.new, and Replit Agent for rapid full-stack generation, coupled with Cursor, Claude Code, or Copilot for converting prototypes into production-ready React/TypeScript and Python services, is essential. Candidates must demonstrate a track record of shipping and operating full-stack applications utilized by real users; portfolio projects or AI demos without production ownership will not suffice.

Develop responsive and intuitive interfaces for conversational and workflow-driven AI applications. Construct robust backend services, APIs, and sophisticated agent orchestration systems, including retrieval and tool integrations. Implement advanced features such as streaming, state management, approvals, notifications, and comprehensive exception handling. Seamlessly integrate authentication, authorization, enterprise systems, and diverse data sources. Build out evaluation frameworks, telemetry systems, error handling mechanisms, and production monitoring capabilities. Optimize user experience, system latency, reliability, accessibility, and cost-effectiveness. Actively participate in production support and contribute to continuous improvement initiatives.

Demonstrated hands-on proficiency with modern frontend frameworks like React and TypeScript, or comparable technologies. Strong command of Python, API development, asynchronous processing techniques, and database management. Expertise in utilizing LLM APIs, Retrieval Augmented Generation (RAG), agent frameworks, streaming capabilities, and generating structured outputs. Experience with cloud deployment strategies, containerization, CI/CD pipelines, identity and access management, security best practices, and observability tools is required.