Full Stack AI Engineer

Poaition: Full Stack AI Engineer Location: San Francisco, CA (On-site) Employment Type: Full-Time Experience Required: 5+ Years Primary Tech Stack React TypeScript Node.js and/or Python PostgreSQL Redis Role Overview We are seeking a Full-Stack Engineer to help build highly interactive, user-focused products that combine modern web technologies with AI-powered generation workflows. This role involves working across frontend applications, backend services, real-time interactions, and scalable infrastructure to deliver fast, reliable, and intuitive user experiences. The ideal candidate has experience building production-grade applications, enjoys solving complex workflow challenges, and can contribute across the full technology stack. Key Responsibilities Design, develop, and maintain production-quality React and TypeScript user interfaces. Build and support backend services using Node.js and/or Python. Develop and integrate REST APIs and real-time communication systems. Design and maintain data models using PostgreSQL and Redis. Improve application performance, reliability, and scalability. Implement monitoring, debugging, logging, and observability best practices. Optimize workflow performance through queue management, retries, error handling, and recovery mechanisms. Collaborate with cross-functional teams to deliver high-quality product features. Participate in testing, deployment, measurement, and continuous product improvement. Required Qualifications 3+ years of hands-on experience with React and TypeScript in production environments. Strong full-stack development experience with Node.js and/or Python. Experience building and maintaining user-facing applications serving production traffic. Practical experience with REST APIs, WebSockets, PostgreSQL, Redis, and monitoring tools. Experience troubleshooting performance, scalability, and reliability challenges. Strong problem-solving and communication skills. Ability to work on-site in San Francisco. Preferred Qualifications Experience building interactive applications such as editors, workflow builders, graph-based tools, canvas applications, or other complex user interfaces. Experience integrating long-running services, asynchronous workflows, or generation-based systems. Strong understanding of latency optimization, retries, queue management, and failure recovery. Product-focused mindset with the ability to improve usability, performance, and user experience. Experience working in fast-paced startup or small-team environments. Bonus Experience Real-time applications and collaboration features. WebSocket-based systems and live state synchronization. Experience with AI-powered products, automation tools, or generation APIs. Familiarity with image, video, audio, or other creator-focused workflows. Interest in modern AI technologies and user-centered product development. What Success Looks Like Delivering high-quality full-stack features that improve user experience. Building scalable and reliable frontend and backend systems. Maintaining strong performance under real production workloads. Contributing to a fast-moving engineering team through ownership, collaboration, and continuous improvement.