Full-Stack AI Engineer - Real-Time Products
MaxIT Consulting - Max Corporate Group
Job Description
Job Description
SF Bay Area, California | Fully On-site
We are seeking a Full-Stack AI Engineer – Real-Time Products to build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.
The OpportunityYou 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.
- 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.
- 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.
This is a fully on-site opportunity in the San Francisco Bay Area, initially based in Burlingame and later transitioning to San Francisco.
Work AuthorizationCandidates 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.
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