Full Stack AI Engineer

Job Description

Job Description

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.