UI / UX Developer, Senior
📍 Job Overview
Job Title: UI / UX Developer, Senior
Company: LCG, Inc.
Location: Rockville, MD
Job Type: Full-Time
Category: Technology - UI/UX Development & AI Integration
Date Posted: 2026-05-07
Experience Level: Senior (5-10 years)
Remote Status: Hybrid (Minimum 3 days onsite)
🚀 Role Summary
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Design and develop intuitive, user-centered interfaces for cutting-edge AI-powered applications, including chatbots, knowledge retrieval tools, and intelligent automation platforms.
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Translate complex Generative AI capabilities, such as Large Language Models (LLMs) and Azure OpenAI services, into accessible, user-friendly web experiences.
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Build and maintain modern, responsive front-end applications using React (or similar frameworks), JavaScript/TypeScript, HTML, and CSS.
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Collaborate with cross-functional teams, including product owners, AI engineers, and stakeholders, in an Agile development environment to deliver user-focused solutions.
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Ensure compliance with federal accessibility standards (e.g., Section 508) and best practices for usability, enhancing the adoption and effectiveness of AI tools within federal programs.
📝 Enhancement Note: While the job title is "UI / UX Developer, Senior," the core responsibilities and emphasis on AI integration, LLMs, and Generative AI technologies indicate a specialized role at the intersection of front-end development and AI product enhancement, particularly within a government contracting context (NIH client). The focus on translating complex AI into user-friendly interfaces is a key differentiator.
📈 Primary Responsibilities
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Design, develop, and implement user-centered interfaces for AI-powered applications, focusing on intuitive workflows and seamless user interactions.
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Create wireframes, prototypes, and high-fidelity UI designs using industry-standard tools like Figma, Adobe XD, or Sketch, ensuring alignment with user needs and business objectives.
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Conduct user research, usability testing, and analyze feedback to drive iterative design improvements and enhance user engagement with AI tools.
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Translate complex AI functionality (e.g., LLMs, chatbots, automation) into simple, accessible, and highly usable user experiences.
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Develop responsive, modern web applications using React, JavaScript/TypeScript, HTML, and CSS, ensuring cross-browser compatibility and optimal performance.
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Integrate front-end interfaces with backend AI services through RESTful APIs, ensuring robust and efficient data flow.
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Support the development of user experiences for Retrieval-Augmented Generation (RAG) workflows and semantic search systems.
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Collaborate closely with product owners and AI engineers to enhance the usability, explainability, and trustworthiness of AI-generated outputs.
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Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, contributing to a dynamic development process.
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Ensure all designs and developed applications comply with federal accessibility standards, particularly Section 508, and adhere to usability best practices.
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Develop and maintain UI/UX documentation, including comprehensive design systems, style guides, and component libraries.
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Create user guides, training materials, and visual documentation to support the adoption and effective use of AI applications.
📝 Enhancement Note: The responsibilities highlight a blend of traditional UI/UX design, modern front-end development, and a strong focus on integrating emerging AI technologies. The emphasis on federal accessibility standards (Section 508) and the specific mention of NIH client needs are crucial for candidates.
🎓 Skills & Qualifications
Education:
Experience:
Required Skills:
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Proven experience designing and developing responsive web applications using React (or similar JavaScript frameworks like Angular or Vue.js).
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Proficiency in creating wireframes, user flows, interactive prototypes, and high-fidelity UI designs using tools such as Figma, Adobe XD, or Sketch.
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Strong command of front-end technologies: HTML5, CSS3, JavaScript, and TypeScript.
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Experience integrating front-end applications with backend services via RESTful APIs.
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Exposure to Artificial Intelligence (AI), Machine Learning (ML), or Generative AI technologies (e.g., LLMs, chatbots, automation tools).
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Deep understanding of user-centered design principles, usability heuristics, and user experience best practices.
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Proficient use of GitHub for version control, collaborative development, and code reviews.
Preferred Skills:
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Direct experience designing User Interfaces (UI) for AI-powered applications, such as AI assistants, chatbots, or intelligent search tools.
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Hands-on experience with Generative AI platforms like Azure OpenAI, or working directly with Large Language Models (LLMs).
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Experience supporting federal IT environments, with a preference for NIH or HHS clients.
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Demonstrated experience implementing Section 508 accessibility standards in web development.
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Experience building and maintaining design systems and reusable component libraries.
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Familiarity with Retrieval-Augmented Generation (RAG) pipelines and AI-driven search interfaces.
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Relevant certifications such as Certified UX Professional, Microsoft Azure Fundamentals (AZ-900), or Microsoft Azure AI Fundamentals (AI-900) are highly valued.
📝 Enhancement Note: The "Required" skills are standard for a Senior UI/UX Developer, but the "Preferred" skills, especially those related to AI integration and federal environments, are critical for distinguishing strong candidates. The mention of specific certifications like AZ-900 and AI-900 suggests a desire for candidates with emerging AI platform knowledge.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase a minimum of 3-5 significant projects demonstrating end-to-end UI/UX design and front-end development lifecycle.
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Projects should highlight user-centered design processes, including user research, persona development, journey mapping, wireframing, prototyping, and usability testing.
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Include examples of responsive web application development, showcasing proficiency in React and modern front-end frameworks.
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For projects involving AI or complex data, demonstrate how user needs were translated into intuitive interfaces and how data was visualized effectively.
Process Documentation:
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Provide evidence of creating and maintaining design systems, style guides, or component libraries to ensure consistency and scalability in UI development.
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Detail your approach to user research and usability testing, including methodologies used and how feedback was incorporated into design iterations.
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Showcase documentation related to API integrations and collaboration with backend developers, illustrating seamless front-end and back-end functionality.
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If applicable, include examples of user guides, training materials, or visual documentation created for software applications, especially those involving complex functionalities like AI.
📝 Enhancement Note: For a Senior UI/UX Developer role, especially one with an AI focus, a robust portfolio is paramount. The emphasis should be on demonstrating a structured design process, technical proficiency, and the ability to translate complex requirements (like AI features) into user-friendly solutions. The inclusion of Section 508 compliance in portfolio examples would be a significant advantage.
💵 Compensation & Benefits
Salary Range:
- The projected compensation range for this position is $90,000 to $140,000 per year. This range is benchmarked for the Washington, D.C. metropolitan area and represents a good faith estimate across all experience levels for this role.
Benefits:
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Health Insurance: Comprehensive medical, dental, and vision insurance options.
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Life & Disability Insurance: Coverage to protect employees and their families.
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Retirement Planning: Contributions to a retirement savings plan.
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Paid Time Off: Generous paid leave policies.
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Federal Holidays: Observance of federal holidays.
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Professional Development: Opportunities for continuous learning and skill enhancement.
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Lifestyle Benefits: Additional benefits to support employee well-being.
Working Hours:
- Standard full-time working hours are expected, typically around 40 hours per week. The role is hybrid, requiring a minimum of 3 days onsite per week.
📝 Enhancement Note: The salary range provided is competitive for a Senior UI/UX Developer in the Washington D.C. metro area, especially considering the hybrid work model and the need for specialized AI integration skills. The benefits package appears comprehensive, typical for a government contractor. The "Minimum 3 days Onsite" requirement is a key detail for hybrid work.
🎯 Team & Company Context
🏢 Company Culture
Industry:
Company Size:
Founded:
Team Structure:
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The UI/UX Developer will likely be part of a larger IT solutions or software development team supporting the NIH client.
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This team will include other developers (front-end, back-end, AI specialists), project managers, product owners, and potentially business analysts.
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Reporting structure will likely be to a Development Lead or Project Manager, with close collaboration across various functional areas involved in the AI modernization initiatives.
Methodology:
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Agile development methodologies are central, as indicated by the mention of sprint planning, stand-ups, and retrospectives.
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Data-driven design and development will be key, utilizing user feedback, analytics, and performance metrics to inform decisions and iterate on solutions.
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A strong focus on user-centered design principles will guide the entire development process, ensuring that applications are intuitive, accessible, and meet the needs of end-users within the NIH environment.
Company Website:
- [LCG, Inc. Website URL - Placeholder, as not provided in input]
📝 Enhancement Note: The company's long history in government contracting, combined with its focus on modern technologies like AI for clients like NIH, suggests a dynamic and stable work environment. The team structure implies a collaborative, project-oriented approach.
📈 Career & Growth Analysis
Operations Career Level:
Reporting Structure:
- The Senior UI/UX Developer will likely report to a Development Manager, Project Lead, or Program Manager overseeing the NIH client's AI modernization efforts.
Operations Impact:
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The impact of this role is significant, directly influencing the usability, adoption, and effectiveness of AI-powered applications for NIH personnel.
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By creating intuitive and accessible interfaces, this role will drive the successful integration of Generative AI technologies into daily workflows, enhancing productivity and decision-making.
Growth Opportunities:
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Technical Specialization: Deepen expertise in UI/UX design for AI applications, or specialize in advanced front-end frameworks, design systems, or specific AI integration patterns (e.g., RAG, conversational AI interfaces).
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Leadership Development: Transition into technical leadership roles, such as Lead UI/UX Developer, Tech Lead, or Architect, mentoring junior developers and guiding project strategy.
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Cross-Functional Expansion: Gain experience in product management, AI engineering collaboration, or project management within the government contracting space.
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Client Engagement: Develop stronger client-facing skills through direct interaction with NIH stakeholders, understanding their evolving needs and translating them into technical solutions.
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Professional Certifications: Pursue advanced certifications in UI/UX, AI technologies, or project management to enhance career progression.
📝 Enhancement Note: The "Senior" title implies a pathway to leadership and specialized technical growth. The AI focus provides a unique opportunity to build expertise in a high-demand, emerging field within a stable government contracting environment.
🌐 Work Environment
Office Type:
Office Location(s):
Workspace Context:
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The onsite workspace will likely be a modern office environment designed to foster collaboration, with meeting rooms, shared workspaces, and potentially dedicated development areas.
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Access to standard office technology, high-speed internet, and necessary development tools will be provided.
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The collaborative environment is crucial for UX design sessions, code reviews, and cross-functional team syncs, especially when working with AI engineers and product owners.
Work Schedule:
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Standard full-time work hours (approximately 40 hours/week) are expected.
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The hybrid arrangement offers flexibility in managing workdays between the office and home, allowing operations professionals to balance project demands with personal needs.
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Adherence to Agile sprint schedules and client delivery timelines will be paramount.
📝 Enhancement Note: The hybrid model is a key aspect of the work environment. The emphasis on collaboration during onsite days, coupled with remote flexibility, is typical for modern tech roles in the government sector.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter or HR representative will likely conduct an initial phone screen to assess basic qualifications, experience, salary expectations, and clearance requirements.
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Technical Interview(s): Expect one or more interviews with the hiring manager and/or senior members of the development team. These will focus on:
- UI/UX Design Principles: Discussion of your design philosophy, process, and experience.
- Front-End Development Skills: Technical questions about React, JavaScript, HTML, CSS, and API integration.
- AI/Generative AI Exposure: Questions about your understanding of AI concepts, LLMs, and how you approach designing for AI-driven features.
- Problem-Solving Scenarios: Hypothetical design or development challenges related to AI applications.
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Portfolio Review: A dedicated session where you will walk through your portfolio, discussing specific projects, your role, design decisions, technical implementations, and outcomes. Be prepared to articulate your process and the impact of your work.
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Client-Specific Discussion: Potential for an interview with the client (NIH) or a discussion focused on understanding federal IT environments, Section 508 compliance, and working with government stakeholders.
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Final Interview: May involve a meeting with senior leadership or a final confirmation interview.
Portfolio Review Tips:
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Curate Strategically: Select projects that best showcase your UI/UX design skills, front-end development capabilities (especially React), and any experience with AI or complex data visualizations. Prioritize projects demonstrating the full design process.
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Focus on Impact: For each project, clearly articulate the problem you solved, your specific contributions, the design decisions you made and why, the technologies used, and the measurable outcomes or impact. Use the STAR method (Situation, Task, Action, Result).
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Highlight AI Relevance: If you have AI-related projects, emphasize how you translated complex AI functionality into user-friendly interfaces, addressed user trust, or improved AI feature adoption.
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Showcase Accessibility: If applicable, demonstrate projects where you successfully implemented Section 508 compliance or other accessibility standards.
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Prepare a Walkthrough: Rehearse presenting your portfolio. Be ready to discuss your thought process, challenges, and how you collaborated with teams. Have live demos or interactive prototypes ready if possible.
Challenge Preparation:
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Design Challenge: You might be given a hypothetical scenario (e.g., "Design an interface for an AI chatbot that helps users find NIH research papers") and asked to outline your approach, create a quick wireframe, or present design concepts.
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Technical Challenge: A small coding exercise or a discussion about debugging a front-end issue related to API integration or React component development.
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AI Integration Scenario: Be prepared to discuss how you would approach designing a user experience for a new AI feature, considering factors like explainability, user control, and error handling.
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Section 508 Compliance: Understand common accessibility issues and how to address them in UI design and front-end development.
📝 Enhancement Note: A strong portfolio is non-negotiable. Candidates should be prepared to deeply discuss their design process, technical implementation choices, and how they approach the unique challenges of designing for AI and government clients.
🛠 Tools & Technology Stack
Primary Tools:
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Front-End Framework: React (primary focus), potentially others like Angular or Vue.js.
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UI/UX Design & Prototyping: Figma, Adobe XD, Sketch.
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Version Control: GitHub is explicitly mentioned.
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APIs: Experience with RESTful APIs for integration is essential.
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Web Technologies: HTML5, CSS3, JavaScript, TypeScript.
Analytics & Reporting:
- While not explicitly stated, experience with web analytics tools (e.g., Google Analytics, Adobe Analytics) for tracking user behavior and UI performance is beneficial.
CRM & Automation:
AI & Cloud Platforms:
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Generative AI/LLMs: Experience or familiarity with Azure OpenAI, Large Language Models (LLMs), and AI-driven platforms is a key differentiator.
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Cloud Environments: Exposure to cloud platforms (like Azure) is beneficial, especially given the mention of Azure OpenAI.
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Specific AI Concepts: Familiarity with Retrieval-Augmented Generation (RAG) and semantic search interfaces.
📝 Enhancement Note: The core technical stack revolves around React and modern front-end development. The significant emphasis is on the integration of Generative AI technologies, making familiarity with tools and concepts in this domain highly advantageous.
👥 Team Culture & Values
Operations Values:
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User-Centricity: A fundamental value, driving all design and development decisions to meet user needs and enhance experience.
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Innovation & Adaptability: Embracing new technologies like Generative AI and adapting designs to leverage their capabilities.
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Collaboration & Teamwork: Working effectively within cross-functional teams, sharing knowledge, and supporting colleagues.
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Quality & Excellence: Commitment to delivering high-quality, accessible, and performant user interfaces.
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Integrity & Compliance: Adhering to federal standards (Section 508) and ethical practices in design and development.
Collaboration Style:
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Agile & Iterative: Working in a fast-paced, iterative manner, with frequent feedback loops and continuous improvement.
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Cross-Functional Integration: Close partnership with Product Owners, AI Engineers, backend developers, and client stakeholders to ensure alignment and successful delivery.
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Open Communication: Encouraging clear, concise, and proactive communication regarding design decisions, technical challenges, and project progress.
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Knowledge Sharing: Willingness to share expertise, mentor junior team members, and contribute to a learning environment.
📝 Enhancement Note: The culture likely reflects a blend of a fast-paced tech environment and the structured, compliance-focused nature of government contracting. The emphasis on collaboration and user-centricity is paramount for success in this role.
⚡ Challenges & Growth Opportunities
Challenges:
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Translating Complex AI Concepts: The primary challenge is simplifying sophisticated Generative AI functionalities (LLMs, RAG) into intuitive and understandable user experiences for a diverse user base.
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Balancing Innovation with Compliance: Integrating cutting-edge AI technologies while adhering to strict federal regulations like Section 508 requires careful planning and execution.
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Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI and Generative AI and determining how to best leverage them for user benefit.
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Hybrid Work Integration: Effectively collaborating and maintaining team cohesion in a hybrid work environment, ensuring seamless communication and productivity.
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Stakeholder Management: Managing expectations and gathering requirements from various stakeholders within the NIH client organization, who may have varying levels of technical understanding.
Learning & Development Opportunities:
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Deep Dive into Generative AI UX: Extensive hands-on experience designing and developing for AI applications, becoming a specialist in this emerging field.
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Advanced Front-End Development: Mastering React and modern JavaScript frameworks, potentially exploring state management solutions and performance optimization techniques.
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Federal IT Environment Expertise: Gaining in-depth knowledge of government IT procurement, security protocols, and compliance requirements (e.g., FedRAMP considerations, Section 508).
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Design System Mastery: Contributing to or leading the development of comprehensive design systems for large-scale applications.
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Mentorship: Opportunities to mentor junior UI/UX designers and developers, honing leadership and communication skills.
📝 Enhancement Note: The challenges are directly tied to the role's unique focus on AI and government clients. The growth opportunities offer a clear path for career advancement and specialization in high-demand areas.
💡 Interview Preparation
Strategy Questions:
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"Describe your process for designing a user interface for a new AI-powered feature, such as a chatbot or a content generation tool. How do you ensure user trust and understanding?"
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"How would you approach integrating a Large Language Model (LLM) into an existing web application to provide a new user capability? What are the key UI/UX considerations?"
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"Walk me through a project where you had to simplify a complex technical process or feature for end-users. What was your approach, and what was the outcome?"
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"How do you ensure your UI/UX designs are compliant with accessibility standards like Section 508? Can you provide an example?"
Company & Culture Questions:
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"What interests you about working with LCG, Inc. and specifically supporting the NIH client?"
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"How do you see yourself contributing to a hybrid work environment and collaborating effectively with both onsite and remote team members?"
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"Our values include user-centricity and innovation. How do these align with your own professional approach?"
Portfolio Presentation Strategy:
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Structure Your Narrative: For each project, clearly define the problem, your role, the process you followed (research, ideation, design, testing, development), key decisions made, challenges encountered, and the final impact or results. Use the STAR method.
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Highlight AI Integration: If showcasing AI-related work, specifically articulate how you designed for AI, addressed user concerns about AI, and facilitated interaction with AI outputs.
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Demonstrate Technical Proficiency: Be ready to discuss the front-end technologies, frameworks (React), and tools you used, and how they supported your design solutions.
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Focus on Collaboration: Explain how you worked with developers, product managers, and stakeholders.
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Quantify Impact: Use metrics whenever possible (e.g., "improved user task completion time by X%", "reduced error rates by Y%", "increased user adoption by Z%").
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Prepare for Technical Deep Dives: Be ready for follow-up questions on specific design choices, code implementations, or accessibility considerations.
📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of UI/UX principles, hands-on front-end development skills, and a forward-thinking approach to integrating AI technologies, all within the context of government contracting.
📌 Application Steps
To apply for this UI / UX Developer, Senior position:
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Submit Your Application: Complete the application form via the provided link on the recruit.hirebridge.com portal.
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Tailor Your Resume: Ensure your resume clearly highlights your experience with React, UI/UX design principles, front-end development, and any exposure to AI/Generative AI technologies. Use keywords from the job description.
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Prepare Your Portfolio: Curate your best UI/UX and front-end development projects. Focus on showcasing your design process, technical skills, and any relevant AI integration or Section 508 compliance work. Be ready to present and discuss these projects in detail.
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Research LCG, Inc. and NIH: Understand LCG's mission, services, and culture, as well as the NIH's objectives and the context of AI modernization within federal agencies. This will help you tailor your responses and demonstrate genuine interest.
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Practice Interview Responses: Prepare for technical questions, behavioral questions using the STAR method, and scenario-based questions related to AI UX and government contracting. Rehearse your portfolio presentation.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires a Bachelor's degree and at least 5 years of experience in UI/UX design and front-end development. Candidates must be proficient in React, design tools like Figma, and have exposure to Generative AI technologies.