Frontend AI Engineer

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 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. Pay: $105.00 - $115.00 per hour Benefits: - Dental insurance - Health insurance - Paid time off - Vision insurance Application Question(s): - Do you have experience building AI/ML or LLM-powered applications? - Do you have hands-on experience building production applications with Streamlit? - Do you have Practical experience creating user interfaces for LLM applications, including chat interfaces, RAG systems, and prompt engineering tools? - Do you have understanding/experience of user experience design, accessibility standards, and responsive design principles? Work Location: Remote