Role: AI Frontend Engineer
Location: Remote
Exp: 10+ years
ANY --s
About the Role
We are looking for a talented AI Frontend Engineer to build intelligent, responsive, and scalable user interfaces powered by AI. You will work closely with AI/ML engineers, backend developers, and product designers to create seamless experiences that integrate machine learning models into real-world applications.
This role sits at the intersection of frontend engineering, , and artificial intelligence, requiring both strong UI engineering skills and a solid understanding of AI-driven systems.
Key Responsibilities:
Design and develop high-performance, scalable frontend applications integrating AI/ML models.
Build intuitive UI components for AI-powered features such as:
Chat interfaces (LLMs, conversational AI)
Recommendation systems
Computer vision outputs
Predictive analytics dashboards
Collaborate with AI/ML teams to connect models via APIs and optimize inference workflows.
Translate complex AI outputs into clear, user-friendly visualizations.
Optimize frontend performance for real-time AI interactions.
Implement state management and data handling for AI-driven applications.
Ensure accessibility, responsiveness, and cross-browser compatibility.
Contribute to UI architecture, design systems, and reusable component libraries.
Stay current with AI tooling, frontend frameworks, and emerging technologies.
Required Qualifications
3+ years of experience in frontend development.
Strong proficiency in:
JavaScript (ES6+)
TypeScript
React (or similar modern framework such as Vue or Angular)
Experience integrating RESTful APIs and/or GraphQL.
Familiarity with AI/ML concepts and APIs (e.g., LLMs, NLP, computer vision).
Experience building interactive dashboards or data visualizations.
Understanding of performance optimization and state management (Redux, Zustand, etc.).
Strong UX/UI sensibility and attention to detail.
Preferred Qualifications
Experience integrating AI platforms (OpenAI, Anthropic, Hugging Face, etc.).
Experience with real-time data streaming (WebSockets, SSE).
Familiarity with Python-based ML stacks.
Experience with design systems (Material UI, Tailwind, etc.).
Knowledge of prompt engineering and AI interaction patterns.
Experience working in startup or fast-paced environments.