AI Engineer (React UI) - Remote US

📍 Job Overview

Job Title: AI Engineer (React UI)

Company: Cielo

Location: United States (Remote)

Job Type: Full-time

Category: Technology / Engineering / AI Development

Date Posted: April 21, 2026

Experience Level: 5-10 Years

Remote Status: Remote Solely

🚀 Role Summary

• Design, develop, and implement intuitive, responsive, and accessible user interfaces for AI-powered talent acquisition applications using React.

• Integrate front-end solutions with cutting-edge AI/ML models, including Large Language Models (LLMs), to enhance recruitment processes and optimize hiring outcomes.

• Collaborate closely with cross-functional teams, including UX/UI designers and back-end engineers, to translate business requirements into robust technical solutions.

• Leverage modern JavaScript frameworks, cloud services, and state-of-the-art AI technologies to build innovative talent acquisition platforms.

• Contribute to back-end development and data engineering tasks to ensure seamless integration between front-end applications, AI models, and various data sources.

📝 Enhancement Note: This role is framed as an AI Engineer with a strong emphasis on React UI development, indicating a need for a candidate who can bridge front-end user experience with complex AI functionalities within the talent acquisition domain. The integration of LLMs and agentic AI systems suggests a forward-thinking approach to HR technology.

📈 Primary Responsibilities

• Develop and maintain high-quality, reusable UI components and implement efficient state management solutions using React and its ecosystem (Redux, React Router).

• Build and consume RESTful APIs, collaborating with back-end developers to ensure seamless data flow between front-end applications and back-end services.

• Design and implement interactive data visualizations using libraries like D3.js or Chart.js to present AI-driven insights in an understandable and actionable format.

• Support the implementation and fine-tuning of Large Language Models (LLMs) by developing appropriate user interfaces for specific talent acquisition tasks.

• Develop front-end components for agentic AI systems, enabling them to assist human recruiters effectively in their daily workflows.

• Assist with data engineering tasks, connecting front-end applications to data from internal systems, Applicant Tracking Systems (ATS), and third-party vendors.

• Ensure cross-browser compatibility, optimize applications for speed and scalability, and adhere to accessibility standards (WCAG).

• Collaborate with UX/UI designers to translate visual concepts into functional, user-friendly interfaces.

• Document front-end architectures, components, and integration points to facilitate knowledge sharing and long-term maintenance.

• Stay abreast of emerging front-end technologies, AI advancements, and trends in the talent acquisition space to continuously enhance solutions.

📝 Enhancement Note: The responsibilities highlight a hybrid role that requires both strong front-end development skills and a foundational understanding of AI/ML, data engineering, and back-end services, specifically within the context of talent acquisition. The emphasis on LLMs and agentic AI points towards a role at the forefront of HR tech innovation.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Computer Science, Web Development, or a related field is preferred.

Experience:

• 5+ years in Agile software engineering.

Required Skills:

• Strong proficiency in modern JavaScript (ES6+) and core web technologies (HTML5, CSS3).

• Expertise in the React ecosystem, including state management (Redux) and routing (React Router).

• Proven experience working with RESTful APIs and integrating front-end applications with back-end services.

• Working knowledge of Python for back-end development and API creation.

• Familiarity with relational databases, specifically PostgreSQL.

• Experience with cloud data warehouses such as Snowflake.

• Understanding of responsive design principles and cross-browser compatibility.

• Experience with front-end testing frameworks and methodologies.

• Familiarity with modern LLM technologies (e.g., Anthropic Claude, OpenAI GPT) and their integration into user interfaces.

• Experience designing and implementing user interfaces for AI agent interactions, including conversational UIs and agent feedback mechanisms.

Preferred Skills:

• Experience creating interactive data visualizations using libraries like D3.js, Chart.js, or similar.

• Understanding of accessibility standards (WCAG) and their implementation.

• Knowledge of CI/CD pipelines and deployment strategies for web applications.

• Familiarity with cloud architectures, particularly AWS, with secondary exposure to Azure and GCP.

• Understanding of current trends in Data Science, Artificial Intelligence, Machine Learning, and Deep Learning.

• Awareness of ethical considerations and best practices in AI, especially in hiring contexts.

• Knowledge of best practices for human-AI collaboration in professional tools.

• Prior work experience in talent acquisition, HR tech, or related fields.

📝 Enhancement Note: The qualifications emphasize a senior-level front-end developer with a strong understanding of AI and data technologies. The specific mention of LLM integration, agentic AI UIs, and AI coding assistants indicates a highly specialized and modern skill set. The preference for HR tech experience further refines the ideal candidate profile.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of complex, responsive UI development using React, demonstrating proficiency in state management and component architecture.

• Examples of integrating front-end applications with APIs (RESTful preferred), illustrating data fetching and manipulation capabilities.

• Projects that involve data visualization or interactive dashboards, highlighting the ability to present complex information clearly.

• Demonstrations of user interfaces designed for AI interactions, such as conversational UIs or agent control panels, if available.

Process Documentation:

• Projects demonstrating an understanding of Agile software development methodologies, including iterative development and collaboration.

• Documentation or examples of front-end testing strategies employed, showcasing a commitment to code quality and reliability.

• Examples of how accessibility standards (WCAG) were considered and implemented in past projects.

• Documentation of code structure, component libraries, and integration points for maintainability and knowledge transfer.

📝 Enhancement Note: For an AI Engineer with a React UI focus, the portfolio should highlight not just front-end craftsmanship but also the ability to integrate complex systems and emerging AI technologies. Demonstrating practical application of AI coding assistants and UI design for AI interactions will be key differentiators.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for AI Engineers with 5-10 years of experience in remote US roles, a competitive salary range is estimated between $120,000 - $160,000 annually. This estimate accounts for the specialized skill set in React UI development, AI/LLM integration, and back-end collaboration, as well as the remote nature of the position within the United States.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Generous paid time off (PTO) and holidays.

• 401(k) retirement savings plan with company match.

• Professional development and continuous learning opportunities, including access to training, conferences, and certifications related to AI and front-end technologies.

• Opportunities to work with cutting-edge AI technologies and contribute to innovative talent acquisition solutions.

• Remote work flexibility, allowing for a balanced work-life integration.

• Potential for performance-based bonuses or stock options (details to be confirmed).

Working Hours: 40 hours per week, with flexibility expected to align with team collaboration needs, ideally within the Central or Eastern time zones.

📝 Enhancement Note: The salary range is an estimation based on current market data for AI Engineers with significant React UI experience in the US, considering the specialization and remote work aspect. Benefits are standard for full-time roles in tech but are highlighted for their relevance to continuous learning and work-life balance, crucial for specialized engineering roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Talent Acquisition / Human Resources Technology (HR Tech). Cielo operates as a leading global Talent Acquisition Partner, leveraging technology to enhance recruitment processes.

Company Size: Cielo is a large organization, indicated by its global presence and comprehensive service offerings. This scale suggests structured processes, opportunities for cross-functional collaboration, and exposure to diverse projects.

Founded: Cielo was founded with a vision to redefine talent acquisition, emphasizing innovation and a "fresh approach" that moves beyond traditional methods. This founding principle likely translates into a culture that values forward-thinking solutions and continuous improvement.

Team Structure:

• The AI Engineering team is likely part of a broader technology or product development division, focusing on building and enhancing Cielo's AI-powered recruitment solutions.

• The team structure may involve specialized roles such as front-end engineers, back-end engineers, AI/ML specialists, and data engineers, working collaboratively.

Methodology:

• Data-driven decision-making and continuous improvement are paramount, especially given the AI focus.

• Agile methodologies are likely employed for iterative development, allowing for flexibility and rapid response to market needs and technological advancements.

• Emphasis on innovation and leveraging cutting-edge technologies, particularly AI and LLMs, to create competitive advantages in the talent acquisition space.

Company Website: https://www.cielotalent.com/

📝 Enhancement Note: Cielo's positioning as a "world's leading Talent Acquisition Partner" suggests a company that is invested in technology and innovation within the HR Tech space. The focus on "fresh approach" and "digital accelerators" implies a culture that embraces change and new methodologies, which is highly relevant for an AI Engineer role.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced AI Engineer with a specialization in React UI. It represents a mid-to-senior level position that requires significant technical expertise and the ability to contribute to strategic product development. The role demands not just execution but also the capacity to influence technical direction and architectural decisions for AI-driven user interfaces.

Reporting Structure: The AI Engineer will likely report to a Technology Lead, Engineering Manager, or Head of Product Development, depending on the specific team structure within Cielo's technology division. Collaboration will extend across product management, UX/UI design, and other engineering functions.

Operations Impact: The AI Engineer's work will directly impact the efficiency and effectiveness of Cielo's talent acquisition solutions. By building intuitive UIs for AI-powered tools, they will enhance the user experience for recruiters and potentially candidates, leading to better candidate matching, optimized hiring processes, and improved client satisfaction. This role is critical in translating advanced AI capabilities into practical, user-friendly applications that drive business value.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI integration, LLMs, agentic AI design patterns, and advanced React development, potentially leading to Principal or Staff Engineer roles.

• Cross-functional Leadership: Transition into roles with greater responsibility for broader product features, team leadership, or technical architecture within the AI/ML product domain.

• Domain Expertise: Develop profound knowledge in talent acquisition and HR technology, becoming a subject matter expert in applying AI to recruitment challenges.

• Mentorship: Opportunity to mentor junior engineers, share knowledge, and contribute to building a strong engineering culture.

• Exposure to Emerging Tech: Continuous learning and application of the latest AI and front-end technologies, keeping skills sharp and relevant in a rapidly evolving field.

📝 Enhancement Note: The role offers significant growth potential for an engineer passionate about AI and its application in specialized domains like HR Tech. The emphasis on both front-end mastery and AI integration provides a unique career path.

🌐 Work Environment

Office Type: This is a fully remote position within the United States, offering significant flexibility and autonomy. While there may not be a physical office requirement, the company culture likely fosters a connected and collaborative remote work environment.

Office Location(s): While the role is remote across the US, Cielo has a significant presence, with key operational hubs in locations like Wauwatosa, Wisconsin, and other global offices. This indicates a well-established company structure that supports remote employees.

Workspace Context:

• Remote Collaboration: Expect to use a suite of digital collaboration tools (e.g., Slack, Microsoft Teams, Zoom) for communication, virtual meetings, and team synchronization.

• Technology Access: Access to cloud-based development environments, AI tools, and necessary software will be provided to facilitate work from anywhere.

• Team Interaction: Regular virtual team meetings, stand-ups, and project discussions will be crucial for staying connected and aligned with colleagues and stakeholders.

Work Schedule: Standard full-time (40 hours per week) with flexibility. The expectation is to align with the Central or Eastern time zones for core collaboration hours, enabling effective teamwork across different locations and project phases.

📝 Enhancement Note: The remote nature of the role is a key feature, emphasizing the company's adoption of modern work practices. The mention of specific time zones suggests a need for synchronous collaboration during business hours, which is common for remote engineering teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will conduct an initial call to assess general qualifications, interest, and cultural fit. Be prepared to discuss your experience with React, AI, and your motivation for this specific role.

• Technical Assessment: Expect a coding challenge or technical interview focusing on React development, JavaScript fundamentals, and potentially API integration. This may involve live coding or a take-home assignment.

• Portfolio Review & Deep Dive: A session dedicated to reviewing your portfolio, where you'll present specific projects. Be ready to discuss your design choices, technical challenges, solutions implemented, and the impact of your work, especially any AI-related projects.

• Team/Hiring Manager Interview: Further discussion with the hiring manager and potential team members to assess technical depth, problem-solving skills, collaboration style, and alignment with team goals.

• Final Interview: Potentially a discussion with senior leadership to confirm fit and discuss broader company vision.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your React UI expertise, AI integration experience, and problem-solving capabilities. Prioritize projects that align with the job description's requirements (e.g., AI-powered applications, complex UIs, API integrations).

• Highlight AI Integration: If you have projects involving LLMs, agentic AI, or AI coding assistants, detail your role, the challenges, the technologies used, and the outcomes. Explain how you designed the UI to support AI functionality.

• Showcase Process & Impact: For each project, clearly articulate the problem you were solving, your specific contributions, the technologies used, and the measurable impact or results achieved. Use data and metrics where possible.

• Prepare for Technical Questions: Be ready to explain your code, architectural decisions, and debugging strategies. Demonstrate a strong understanding of front-end best practices, performance optimization, and accessibility.

• Emphasize Collaboration: Be prepared to discuss how you've worked with designers, back-end developers, and other stakeholders.

Challenge Preparation:

• React Fundamentals: Brush up on core React concepts, hooks, contexts, state management (Redux), component lifecycle, and performance optimization.

• JavaScript Proficiency: Review modern JavaScript (ES6+), asynchronous programming, and common data structures.

• API Integration: Practice scenarios involving fetching data from RESTful APIs, handling different response types, and error management.

• AI Concepts: Familiarize yourself with basic LLM concepts, how they are integrated into applications, and common UI patterns for AI interactions. Understand the benefits and limitations of AI coding assistants.

• Problem-Solving: Practice breaking down complex problems into smaller, manageable parts and articulating your thought process clearly.

📝 Enhancement Note: The emphasis on portfolio review and specific interview stages suggests a thorough evaluation process. Candidates should be prepared to demonstrate not only technical skills but also their ability to apply them in an AI-driven context and communicate their impact effectively.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Framework: React.js, with deep understanding of its ecosystem.

• State Management: Redux, potentially Context API.

• Build Tools: Webpack, Vite, or similar modern JavaScript build tools.

• Programming Languages: JavaScript (ES6+), Python (for back-end/API integration).

• API Interaction: RESTful APIs, potentially GraphQL.

Analytics & Reporting:

• Data Visualization Libraries: D3.js, Chart.js, or similar for creating interactive charts and dashboards.

• Cloud Data Warehouses: Snowflake.

• (Potential) Analytics Platforms: Tools for tracking front-end performance and user engagement.

CRM & Automation:

• Databases: PostgreSQL for relational data.

• Data Pipeline Tools: Apache Airflow for workflow orchestration.

• Cloud Platforms: AWS (primary focus), with familiarity in Azure and GCP.

• AI/LLM Integration: APIs for models like Anthropic Claude, OpenAI GPT, and AI coding assistants.

📝 Enhancement Note: The technology stack is a blend of robust front-end development tools and emerging AI technologies. Proficiency in React, JavaScript, Python, SQL databases, and cloud platforms is essential, alongside experience or a strong interest in integrating LLMs and leveraging AI coding assistants.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to explore and implement cutting-edge AI and front-end technologies to solve real-world talent acquisition challenges.

• Data-Driven Approach: Utilizing data and AI-driven insights to inform design decisions, optimize user experiences, and measure the impact of solutions.

• Collaboration: Strong emphasis on working effectively with cross-functional teams, sharing knowledge, and supporting colleagues.

• Efficiency & Optimization: A commitment to building performant, scalable, and user-friendly applications that streamline recruitment processes.

• User-Centric Design: Prioritizing the creation of intuitive and accessible interfaces that enhance the experience for end-users, whether recruiters or candidates.

Collaboration Style:

• Agile & Iterative: Working in sprints, with regular feedback loops and continuous adaptation based on project needs and stakeholder input.

• Cross-Functional Integration: Close partnerships with UX/UI designers, back-end engineers, product managers, and AI/ML specialists to ensure seamless product development.

• Open Communication: Utilizing digital tools for transparent communication, knowledge sharing, and proactive problem-solving.

• Mentorship & Learning: A culture that encourages learning from one another, sharing best practices, and fostering professional growth for all team members.

📝 Enhancement Note: The culture likely reflects a modern tech company that values innovation, data, and collaboration. For an AI Engineer, the emphasis on user-centric design and efficiency in the context of talent acquisition will be key cultural drivers.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating Complex AI: Effectively bridging the gap between advanced AI/LLM capabilities and seamless, intuitive user interfaces for a diverse user base.

• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of AI, LLMs, and front-end technologies, and adapting development practices accordingly.

• Data Sensitivity & Ethics: Navigating the ethical considerations of AI in hiring, ensuring fairness, transparency, and data privacy in the applications developed.

• Cross-functional Alignment: Ensuring clear communication and alignment between front-end development, AI model development, and back-end services, especially in a remote setting.

Learning & Development Opportunities:

• AI/LLM Specialization: Opportunities to deepen knowledge in prompt engineering, AI model fine-tuning, and advanced AI integration techniques.

• Advanced Front-end Development: Staying at the forefront of React best practices, performance optimization, and emerging front-end architectures.

• Cloud & Data Engineering: Gaining further experience with cloud platforms (AWS) and data pipeline tools (Airflow) to enhance full-stack capabilities.

• Industry Exposure: Deepening understanding of the talent acquisition and HR Tech landscape, applying AI solutions to specific industry problems.

• Professional Development: Access to training, certifications, conferences, and internal workshops focused on AI, software engineering, and leadership skills.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge AI and remote collaboration, offering significant opportunities for professional growth for a motivated engineer.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex UI you built using React. What were the main challenges, how did you overcome them, and what was the outcome?" (Focus on React proficiency, problem-solving, and impact.)

• "How would you integrate an LLM like Claude or GPT into a recruitment application to assist recruiters? What UI considerations would be most important?" (Assess understanding of AI integration and UI design for AI.)

• "Walk me through a project where you used AI coding assistants. How did it impact your workflow, and how did you ensure code quality and security?" (Evaluate practical use of AI tools and development best practices.)

Company & Culture Questions:

• "What interests you about Cielo and our work in talent acquisition technology?" (Demonstrate research into the company and industry.)

• "How do you stay updated on the latest trends in AI and front-end development?" (Showcase commitment to continuous learning.)

Portfolio Presentation Strategy:

• Project Selection: Choose 2-3 projects that best highlight your React UI skills, AI/LLM integration experience, and problem-solving abilities.

• Storytelling: For each project, frame it as a narrative: the problem, your solution (technical and design), your specific contributions, and the measurable results.

• Technical Depth: Be ready to dive into the technical details of your implementation, explaining architectural choices, libraries used, and trade-offs made.

• AI Focus: Clearly articulate how AI was leveraged, the UI's role in interacting with AI, and any insights gained from using AI development tools.

• Conciseness: Present each project efficiently, respecting the allocated time and focusing on the most impactful aspects.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong command of React UI development, a practical understanding of AI/LLM integration, and the ability to articulate technical solutions and their impact clearly.

📌 Application Steps

To apply for this AI Engineer position:

• Submit your application through the provided link on the Cielo careers portal.

• Tailor Your Resume: Highlight your experience with React, JavaScript, API integrations, Python, and any exposure to AI/LLM technologies. Quantify achievements where possible using metrics related to performance, efficiency, or user experience improvements.

• Prepare Your Portfolio: Curate a selection of your strongest projects that showcase your React UI development skills, API integration capabilities, and any AI-related work. Ensure it is easily accessible (e.g., GitHub, personal website).

• Practice Your Pitch: Rehearse your ability to clearly articulate your technical experience, project contributions, and how your skills align with the AI Engineer role and Cielo's mission. Be ready to discuss your experience with AI coding assistants.

• Research Cielo: Understand Cielo's role in talent acquisition, their approach to technology, and their company values to articulate your genuine interest and cultural fit.

⚠️ 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.