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Generative AI Operations Engineer

Openkyber

3d ago

0DevGA, USjobspy_indeed
remoteindeed

Job Description

**Stefanini Group is hiring!** **Stefanini is looking for Frontend AI Engineer\-Remote** For quick apply, please contact OpenKyber; 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 framework * Build intuitive chat interfaces, document processing applications, and interactive dashboards for LLM\-powered systems * Create responsive, user\-friendly interfaces for RAG/knowledge base systems, enabling economists and analysts to query complex datasets * Implement real\-time streaming responses and feedback mechanisms for generative AI applications * Develop reusable UI components and design patterns for AI applications across the organization * Ensure applications meet accessibility, security, and compliance requirements for client environments * Optimize 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 applications * 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 for LLM applications * Bridge the gap between complex AI capabilities and intuitive user experiences for non\-technical stakeholders * Participate actively in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team * Partner 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 applications * Create comprehensive documentation for AI application development patterns and best practices * Train data engineers and other team members on front\-end development and Streamlit best practices * Monitor application performance, user feedback, and usage patterns to drive continuous improvement * Stay current on AI/ML interface trends, front\-end technologies, and client regulatory requirements * Act as escalation point for AI application technical issues. **Qualifications:** * Education: Bachelor's degree in Computer Science, Software Engineering, Human\-Computer Interaction, or rel