
AI Full Stack Developer
Hyphen Connect
Full time
Human Resources
United States
Hiring from: United States
We are hiring for one of our ecosystem projects - a pioneering tech company developing a groundbreaking cross-platform robot operating system infused with AI, whose mission is to create robots that learn rapidly, are easy to train, and excel at interacting dynamically with both their environment and humans. Building vision-language-action models (VLAMs) and integrating them with other AI technologies to enable robots to understand and interact with the physical world.
We are looking for an experienced AI Full Stack Developer to join a dynamic team. In this role, you will be responsible for developing and maintaining advanced full-stack applications that leverage AI and machine learning models. You will create scalable back-end systems for data ingestion and model deployment while designing intuitive front-end interfaces that enhance user experience.
Job Description
We are looking for an experienced AI Full Stack Developer to join a dynamic team. In this role, you will be responsible for developing and maintaining advanced full-stack applications that leverage AI and machine learning models. You will create scalable back-end systems for data ingestion and model deployment while designing intuitive front-end interfaces that enhance user experience.
Job Description
- Develop and maintain full-stack applications that integrate AI/ML models.
- Create scalable back-end systems for data ingestion, model deployment, and API integration.
- Design responsive and user-friendly front-end interfaces to provide AI-driven functionalities.
- Optimize the performance and scalability of AI applications in production.
- Collaborate with cross-functional teams to ensure development aligns with business and technical objectives.
- Proficiency in front-end frameworks such as React, React Native, and Angular, along with modern UI/UX design principles.
- Expertise in back-end development using frameworks like Node.js, Golang, Python, or TypeScript, with experience in API development and integration.
- Strong knowledge of AI/ML model integration, including tools like TensorFlow.js and REST/GraphQL API integration with AI services.
- Experience with databases (both SQL and NoSQL) and scalable cloud infrastructures (AWS, GCP, or Azure).
- Familiarity with MLOps practices and deploying AI models in production environments.
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