Frontend AI Engineer

Stefanini Group is seeking a Frontend AI Engineer to establish AI application development patterns and UI/UX best practices for GenAI interfaces. The role involves designing production-ready user interfaces for AI/ML applications and collaborating with data scientists and backend engineers to integrate ML models and APIs.

Responsibilities:

• Design and develop production-ready user interfaces for AI/ML applications using Streamlit
• Build intuitive chat interfaces, document processing applications, and interactive dashboards for LLM-powered systems
• Implement responsive interfaces for RAG/knowledge base systems
• Develop reusable UI components and design patterns for AI applications
• Ensure applications meet accessibility, security, and compliance requirements
• Optimize front-end performance for AI applications
• Collaborate with data scientists and backend engineers to integrate ML models, LLMs, and APIs
• Integrate AWS AI services (Bedrock, SageMaker, Textract)
• Implement prompt engineering interfaces and parameter tuning controls
• Participate in Agile rituals and processes
• Support and troubleshoot deployed AI applications
• Train team members on front-end development and Streamlit best practices
• Monitor application performance and drive continuous improvement
• Stay current on AI/ML interface trends and front-end technologies

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Human-Computer Interaction, or related technical field
• 3+ years in front-end development, with at least 1+ year building AI/ML or LLM-powered applications
• Hands-on experience building production applications with Streamlit
• Practical experience creating user interfaces for LLM applications (chat, RAG, prompt engineering)
• Strong Python proficiency; JavaScript/TypeScript experience is beneficial
• Ability to integrate ML models, APIs, and LLM services into front-end applications
• Working knowledge of AWS services and cloud-native development
• Understanding of UI/UX principles, accessibility, and responsive design
• Experience with RESTful APIs, WebSockets, and async programming
• Understanding of web application security best practices
• Strong communication skills to translate complex AI functionality
• Experience with Databricks, Collibra, or modern data platform tools
• Knowledge of containerization (Docker) and orchestration
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with data visualization libraries
• Background in regulated industries
• Experience with A/B testing and user analytics
• Understanding of MLOps practices