AI Engineer, Platform

Responsibilities

• Design and build full-stack applications that power AI-driven workflows for enterprise users.
• Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
• Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.
• Optimize AI-powered UIs to ensure seamless and intuitive user experiences.
• Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.
• Ship robust, minimal-dependency code that performs efficiently in enterprise environments.
• Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.

Requirements

• 1-2 years of hands-on experience building full-stack production applications.
• Proficiency in modern web technologies, including React, TypeScript, and Node.js.
• Experience with backend development using Python, Go, or similar languages.
• Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
• Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.
• Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact.
• Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers.

Nice-to-Haves

• Experience building AI-powered applications with LLM integrations.
• Worked in high-performance startups or enterprise AI environments.
• Sharp eye for UI/UX design and built intuitive, AI-driven interfaces.
• Experience with GraphQL, WebSockets, or real-time data streaming.
• Contributed to open-source projects or built developer tools for AI.