Realtime AI Full-Stack Engineer — Wearables (SF On-Site)

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group is seeking a Full-Stack AI Engineer – Real-Time Products for its San Francisco Bay Area operations. You will build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.

You will work across real-time video and data pipelines, backend services, and customer-facing applications, prioritizing latency, connectivity, and scalability.

Qualifications

• 2–5 years of professional software engineering experience.
• Full-stack capability across frontend and backend.
• Hands-on experience with React and/or React Native.
• Experience shipping scalable products used by customers.
• Exposure to real-time, low-latency, streaming, edge, wearable, or hardware-connected systems.
• Strong product ownership in an early-stage environment.

Responsibilities

• Build real-time video and data pipelines connecting wearable devices with AI systems.
• Design systems that operate under tight latency requirements and unreliable connectivity.
• Develop backend APIs, application services, and data infrastructure.
• Build customer-facing web and mobile experiences.
• Work with React and React Native, including integrations with native device capabilities.
• Own features and systems end to end from architecture through production deployment.

Skills

Full-stack development

React/React Native

Product ownership

Real-time systems

Edge hardware integration

End-to-end ownership

Tools

React

React Native

Job description

MaxIT Consulting - Max Corporate Group is seeking a Full-Stack AI Engineer – Real-Time Products for its San Francisco Bay Area operations. You will build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.

You will work across real-time video and data pipelines, backend services, and customer-facing applications, prioritizing latency, connectivity, and scalability.