Founding Full-Stack Engineer - Real-Time AI & Wearables

MaxIT Consulting - Max Corporate Group
San Francisco, CA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Services Data Infrastructure Hardware Design Software Deployment Software Engineering Data Streaming Systems Integration ReactJS Backend Low Latency
+7 more
Data Management React Native Front End Software Development Multiaccess Edge Computing Wearables Data Pipelines Web Api

Job description

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., * 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.

Requirements

Artificial Intelligence (AI), Wearables, Wearables, Artificial Intelligence (AI), Product Development, Data Management, Application Programming Interface (API), Customer Relations, React Native, Software Engineering, * 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.

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