Frontend AI Engineer

Stefanini Group is hiring!Stefanini is looking for Frontend AI Engineer-RemoteFor quick apply, please contact Atika Nagar; Ph: 248 582 Only! Responsibilities:You'll work in a collaborative environment using cutting-edge technologies including Streamlit, Databricks, AWS AI services (Bedrock, SageMaker), and cloud-native architectures to deliver scalable, secure AI applications in a highly regulated client environment.This is a foundational role - you'll establish our AI application development patterns, UI/UX best practices for GenAI interfaces, and create the front-end frameworks that enable the entire organization to leverage our AI capabilities. What You'll Bring:AI Application Development (60%):Design and develop production-ready user interfaces for AI/ML applications using Streamlit as the primary frameworkBuild intuitive chat interfaces, document processing applications, and interactive dashboards for LLM-powered systemsCreate responsive, user-friendly interfaces for RAG/knowledge base systems, enabling economists and analysts to query complex datasetsImplement real-time streaming responses and feedback mechanisms for generative AI applicationsDevelop reusable UI components and design patterns for AI applications across the organizationEnsure applications meet accessibility, security, and compliance requirements for client environmentsOptimize front-end performance for AI applications handling large document sets and real-time model inference Integration & Collaboration (25%):Collaborate closely with data scientists to integrate ML models and LLM solutions into production applicationsWork with backend engineers to design and consume RESTful APIs and event-driven architecturesIntegrate AWS AI services (Bedrock, SageMaker, Textract) into front-end applicationsImplement prompt engineering interfaces and parameter tuning controls for LLM applicationsBridge the gap between complex AI capabilities and intuitive user experiences for non-technical stakeholdersParticipate actively in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program teamPartner with product management and business stakeholders to gather requirements and iterate on UI/UX designs Support & Enablement (15%):Provide technical support and troubleshooting for deployed AI applicationsCreate comprehensive documentation for AI application development patterns and best practicesTrain data engineers and other team members on front-end development and Streamlit best practicesMonitor application performance, user feedback, and usage patterns to drive continuous improvementStay current on AI/ML interface trends, front-end technologies, and client regulatory requirementsAct as escalation point for AI application technical issues.

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Qualifications:Education: Bachelor's degree in Computer Science, Software Engineering, Human-Computer Interaction, or related technical fieldExperience: 3+ years in front-end development, with at least 1+ years building AI/ML or LLM-powered applicationsStreamlit Expertise: Hands-on experience building production applications with Streamlit; experience with Angular, Node.js, React, or Vue.js is a plusLLM Solutions: Practical experience creating user interfaces for LLM applications, including chat interfaces, RAG systems, and prompt engineering toolsProgramming: Strong Python proficiency; experience with JavaScript/TypeScript is beneficialAI Integration : Demonstrated ability to integrate ML models, APIs, and LLM services into front-end applicationsCloud Platforms: Working knowledge of AWS services and cloud-native application development (experience with AWS AI/ML services preferred)UI/UX Principles: Understanding of user experience design, accessibility standards, and responsive design principlesAPI Development: Experience working with RESTful APIs, WebSockets, and async programming patternsSecurity: Understanding of authentication, authorization, and security best practices for web applicationsCommunication: Ability to translate complex AI functionality into intuitive user experiences and collaborate effectively with cross-functional teams Preferred QualificationsExperience with Databricks, Collibra, or modern data platform toolsKnowledge of containerization (Docker) and orchestration technologiesExperience with CI/CD pipelines and DevOps practicesFamiliarity with data visualization libraries (Plotly, Altair, Matplotlib)Background working in regulated industries (financial services, healthcare, government)Experience with A/B testing and user analytics for application optimizationUnderstanding of MLOps practices and model deployment patterns Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers. About Stefanini Group:The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company