Details:

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.

#LI-AN1

#LI-REMOTE

Details:

Qualifications:

Education: Bachelor's degree in Computer Science, Software Engineering, Human-Computer Interaction, or related technical field
Experience: 3+ years in front-end development, with at least 1+ years building AI/ML or LLM-powered applications
Streamlit Expertise: Hands-on experience building production applications with Streamlit; experience with Angular, Node.js, React, or Vue.js is a plus
LLM Solutions: Practical experience creating user interfaces for LLM applications, including chat interfaces, RAG systems, and prompt engineering tools
Programming: Strong Python proficiency; experience with JavaScript/TypeScript is beneficial
AI Integration : Demonstrated ability to integrate ML models, APIs, and LLM services into front-end applications
Cloud 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 principles
API Development: Experience working with RESTful APIs, WebSockets, and async programming patterns
Security: Understanding of authentication, authorization, and security best practices for web applications
Communication: Ability to translate complex AI functionality into intuitive user experiences and collaborate effectively with cross-functional teams

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 (Plotly, Altair, Matplotlib)
Background working in regulated industries (financial services, healthcare, government)
Experience with A/B testing and user analytics for application optimization
Understanding 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

Frontend AI Engineer

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