GenAI engineering team is looking for a passionate Full-Stack Senior Software Development Engineer to enable and accelerate the GenAI creative flows powered by state of the art machine learning models.
models.
Our goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary content creation application.
Employer Profile
Global software development company, well known in the digital area.
Responsibilities
We are looking for a tenured software engineer who will be responsible for delivering the user-facing application experience of cutting-edge cloud based generative AI features. This is a unique opportunity to work on powerful new and state-of-the-art generative technologies. In this role, you will work closely with Product Managers, Designers, Project Managers and ML engineering teams to deliver amazing GenAI products to our customers.
Architect, develop and maintain high-performance, reusable Web Components using modern frameworks (Lit / React).
Collaborate with back-end engineers to seamlessly integrate with GenAI-powered backend APIs.
Write clean, maintainable, and scalable front-end code.
Build automated unit tests and integration tests to ensure reliability.
Monitor and optimize application performance using profiling tools and analytics.
Ensure accessibility, security, and cross-browser compatibility
Requirements
Proven record of architecting and developing commercially successful web applications using frameworks such as React/ Lit.
High proficiency in TypeScript or JavaScript (ES6+)
Strong computer science technical background, analytical and debugging abilities.
Demonstrated practices of writing high-performance, reliable and maintainable code
Experience with performance optimization techniques for front-end applications.
Knowledge of front-end security best practices
Experience with CI/CD tools (e.g., Jenkins, GitLab CI)
B.S or higher in Computer Science
Nice to have :
Python programming experience
Exposure with integration of generative AI models in applications
Experience in UX design, design systems or close collaboration with design teams
Knowledge of WASM, WebGPU and canvas rendering, security, asynchrony and performance optimization
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