Full Stack AI Engineer - San Francisco CA

AHU Technologies Inc • Washington, DC

8d • $150,000 - $190,000 • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed