Frontend AI Engineer

Job Description

Frontend AI Engineer - Remote

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 for AI capabilities. This role involves working with cutting-edge technologies like Streamlit, Databricks, and AWS AI services in a collaborative, client-regulated 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.
• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Contact for quick apply:

Atika Nagar