OceanAI, LLC is seeking a highly skilled Full Stack Developer to lead IoT project development in Sacramento, California. This role encompasses designing and developing robust IoT solutions by building both backend and frontend components that enhance device functionalities using AI. A strong background in deep learning and large language models is essential, alongside a Ph.D./M.S. in relevant fields or 5+ years of equivalent industry experience. The position fosters collaboration across teams to tackle critical challenges and push the boundaries of intelligent systems.
Qualifications
Strong experience with deep learning and natural language processing.
Hands-on experience with AI and machine learning frameworks (TensorFlow, PyTorch).
Knowledge of IoT communication protocols such as MQTT or CoAP.
Familiarity with containerization and microservices architectures (Docker, Kubernetes).
Excellent problem-solving skills and ability to perform in a dynamic, fast-paced environment.
Responsibilities
Design and develop robust IoT solutions with seamless device communication.
Build both backend and frontend components that interact with smart devices.
Leverage AI and large language models to enhance device functionalities.
Interface directly with leaders across the company to identify and solve critical bottlenecks.
Collaborate with research teams to apply LLMs and share feedback.
Contribute to the architecture and scalability of our IoT platform.
Skills
Deep learning
Natural language processing
IoT communication protocols
AI and machine learning frameworks (TensorFlow, PyTorch)
Containerization and microservices architectures (Docker, Kubernetes)
Problem-solving skills
Education
Ph.D./M.S in computer science or equivalent industry experience
Job description
OceanAI, LLC is seeking a highly skilled Full Stack Developer to lead IoT project development in Sacramento, California. This role encompasses designing and developing robust IoT solutions by building both backend and frontend components that enhance device functionalities using AI. A strong background in deep learning and large language models is essential, alongside a Ph.D./M.S. in relevant fields or 5+ years of equivalent industry experience. The position fosters collaboration across teams to tackle critical challenges and push the boundaries of intelligent systems.