Frontend AI Engineer

Job Description
Frontend AI Engineer
Location:
San Francisco, CA

• Remote

Company:
Stefanini Group
About The Role
Stefanini is seeking a Frontend AI Engineer to establish AI application development patterns, UI/UX best practices for GenAI interfaces, and create front-end frameworks. You will work with technologies like Streamlit, Databricks, and AWS AI services to deliver AI applications in a regulated client environment.
Key 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.
• Create responsive interfaces for RAG/knowledge base systems.
• Implement real-time streaming responses and feedback mechanisms for generative AI.
• Develop reusable UI components and design patterns for AI applications.
• Ensure applications meet accessibility, security, and compliance requirements.
• Collaborate with data scientists to integrate ML models and LLM solutions.
• Work with backend engineers to design and consume RESTful APIs and event-driven architectures.
• Integrate AWS AI services (Bedrock, SageMaker, Textract) into front-end applications.
• Implement prompt engineering interfaces and parameter tuning controls.
• Translate complex AI capabilities into intuitive user experiences.
• Participate in Agile rituals and Scaled Agile processes.
• Gather requirements and iterate on UI/UX designs with product management.
• Provide technical support and troubleshooting for deployed AI applications.
• Create documentation for AI application development patterns and best practices.
• Train team members on front-end development and Streamlit best practices.
• Monitor application performance and user feedback for continuous improvement.
• Stay current on AI/ML interface trends and front-end technologies.
• Act as an escalation point for AI application technical issues.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Human-Computer Interaction, or related 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.
• Experience creating user interfaces for LLM applications (chat interfaces, RAG systems, prompt engineering tools).
• Strong Python proficiency.
• Experience with JavaScript/TypeScript is beneficial.
• Demonstrated ability to integrate ML models, APIs, and LLM services into front-end applications.
• Working knowledge of AWS services and cloud-native application development.
• Understanding of user experience design, accessibility standards, and responsive design principles.
• Experience working with RESTful APIs, WebSockets, and async programming patterns.
• Understanding of authentication, authorization, and security best practices for web applications.
• Ability to translate complex AI functionality into intuitive user experiences.

Preferred Qualifications

• Experience with Databricks, Collibra, or modern data platform tools.
• Knowledge of containerization (Docker) and orchestration technologies.
• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with data visualization libraries.
• Background working in regulated industries.
• Experience with A/B testing and user analytics.
• Understanding of MLOps practices and model deployment patterns.