Full-Stack Engineer – Real-Time AI Products

MaxIT Consulting - Max Corporate Group; California; On-site; USD 120,000 - 160,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in the San Francisco Bay Area is seeking a Full-Stack Engineer to build the product and infrastructure around an advanced wearable AI platform used in real-world industrial environments.

You will work across the full stack, from real-time video and data pipelines to backend services and the user-facing application. The environment demands strong engineering judgment on latency, connectivity, scalability, and hardware integration.

Qualifications

• Approximately 2 to 5 years of professional software engineering experience.
• Demonstrated full-stack engineering capability across frontend and backend systems.
• Hands-on experience with React and/or React Native.
• Experience shipping scalable products used by real customers.
• Exposure to real-time, low-latency, streaming, edge, wearable, or hardware-connected systems.
• Strong product ownership and ability to work effectively 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

Backend APIs

Data pipelines

Edge computing

Real-time systems

Product ownership

Job description

SF Bay Area, California | Fully On-site

We are seeking a Full-Stack Engineer to build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.

SF Bay Area, California | Fully On-site

We are seeking a Full-Stack Engineer to build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.

The Opportunity

You will work across the full product stack, from real-time video and data pipelines to backend services and the user-facing application. The environment requires strong engineering judgment around latency, connectivity, scalability, and hardware integration.

Key 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.

Required Qualifications

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

Relevant Backgrounds

• Real-time video and streaming platforms.
• Wearables and connected devices.
• Robotics or autonomous systems.
• Edge computing and hardware-constrained applications.
• High-growth early-stage software products.

Work Arrangement

This is a fully on-site opportunity in the San Francisco Bay Area, initially based in Burlingame and later transitioning to San Francisco.

Work Authorization

Candidates must be able to work in the United States. Certain sponsorship and visa-transfer scenarios may be supported for candidates already physically located in the United States. Applications requiring a new petition from abroad cannot currently be supported.