Stefanini Group is hiring!
Stefanini is looking for Frontend AI Engineer-Remote
For quick apply, please contact Atika Nagar; Ph: 248 582 6512
Atika.nagar@stefanini.com
W2 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.
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