Full Stack Engineer
1 month ago
Key Responsibilities:
- Full Stack Integration: Develop and integrate AI and machine learning models across both front-end and back-end systems to create seamless and effective applications.
- User Experience: Design and implement intuitive user interfaces while ensuring backend systems support the AI features effectively.
- AI Visualization and Interaction: Develop components for data visualization and interactive features that allow users to engage with AI-generated insights and real-time responses.
- Data Interaction: Create interactive features that allow users to interact with AI models, input data, and receive real-time responses.
- Performance Optimization: Optimize the performance of the entire application stack, particularly focusing on the efficiency of AI processes to ensure smooth operation and user interaction.
- Cross-Platform Compatibility: Ensure that AI-powered applications function consistently across various devices and browsers.
- Testing and Quality Assurance: Conduct thorough testing and QA to address any UI/UX issues and confirm the performance of AI features.
- Documentation: Produce comprehensive documentation of AI features and the overall system for both technical and non-technical stakeholders.
Minimum Qualifications:
● A bachelor’s or master’s degree in computer science, software engineering, or a
related field.
● At least 5+ years of software development experience.
● Proficiency in Javascript, TypeScript, and React.js library.
● Knowledge of back-end technology stacks, with experience in at least one of the
back-end languages: Node.js, Python
● Experience working with a relational database.
● Exposure to component libraries such as Material-UI, Ant Design, etc.
● Proficient in using containerization technology like Docker for developing, shipping,
and running applications.
● Strong problem-solving skills and the ability to work collaboratively with
cross-functional teams.
Preferred Qualifications:
● Understanding of Tanstack Query and React Flow is a plus.
● Exposure to AI-oriented libraries such as LangChain and experience with Vector
Database systems.
● Strong communication skills, ability to build relationships, and a proven track record
of success and commitment to excellence.
Tell employers what skills you have
MongoDB
Quality Assurance
AngularJS
TypeScript
JavaScript
Authorization
User Experience Design
Python
Containerization
Software Design
Docker
Authentication
Visualization
OS X
Software Development
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