UI Developer -AI

📍 Job Overview

Job Title: UI Developer - AI

Company: Tessell Inc

Location: Bangalore, Karnataka, India

Job Type: Full-Time

Category: Frontend Development / UI Engineering (with AI Specialization)

Date Posted: February 20, 2026

Experience Level: Mid-Level (3-6 years)

Remote Status: On-site

🚀 Role Summary

• Design and develop intuitive, high-performance user interfaces for AI-enhanced web and desktop applications, focusing on user experience and seamless integration of AI features.

• Build and standardize reusable UI components for AI-driven functionalities, ensuring consistency and accessibility across the product suite.

• Collaborate closely with Machine Learning Engineers, UX Designers, and Front-end Developers to translate complex AI concepts into user-friendly interfaces.

• Integrate AI features such as Natural Language Processing (NLP), predictive UI, and contextual recommendations, leveraging modern JavaScript frameworks and API integrations.

• Optimize UI performance and ensure WCAG compliance for AI-driven features, making them inclusive and efficient for all users.

📝 Enhancement Note: This role is a specialized UI Development position with a strong emphasis on integrating Artificial Intelligence features into the product. The "AI" in the title and description signifies a need for developers who can not only build visually appealing and functional interfaces but also understand how to represent and interact with AI-generated outputs and intelligent functionalities. This is distinct from a pure AI/ML engineering role; the focus remains on the user-facing aspects of AI.

📈 Primary Responsibilities

• Develop AI-Enhanced Interfaces: Design and implement interactive, intelligent, and scalable UI components for web and desktop applications, incorporating AI-driven features like NLP, predictive UI, and contextual recommendations.

• Component Standardization & Documentation: Create and maintain a library of reusable UI patterns and components specifically for AI-driven features, ensuring consistent presentation of predictions, insights, and interactions across the platform.

• API Integration for Real-time Experiences: Design and implement UI components that efficiently interact with RESTful and WebSocket APIs to support real-time data processing and dynamic AI-driven user experiences.

• Cross-Functional Collaboration: Work collaboratively with UX designers, front-end engineers, and AI specialists to translate high-fidelity designs into responsive, pixel-perfect interfaces that seamlessly integrate with AI systems and models.

• Accessibility and Performance Optimization: Champion Web Content Accessibility Guidelines (WCAG) compliance and optimize UI performance, ensuring AI-driven features are inclusive, efficient, and responsive, even with complex real-time data or outputs.

• User Needs and Workflow Refinement: Partner with designers, engineers, and AI specialists to identify user needs, refine workflows, and integrate AI capabilities into the broader product ecosystem.

• Innovation in AI Frontend Development: Explore and implement cutting-edge trends, libraries, and frameworks to enhance user interaction with AI, pushing the boundaries of frontend development in this domain.

📝 Enhancement Note: The responsibilities highlight a dual focus: core UI development skills (componentization, responsiveness, API integration) and a specialized application towards AI features. The emphasis on "consistency across AI features" and "accessibility for AI outputs" implies a need for a structured approach to how AI is presented to the user, not just its underlying functionality.

🎓 Skills & Qualifications

Education:

Experience:

• 3-6 years of experience in frontend development.

Required Skills:

• Expertise in UI Development Frameworks: Proficiency in React (preferred), Vue, or Angular.

• Modern JavaScript & TypeScript: Strong skills in modern JavaScript (ES6+) and TypeScript.

• CSS Mastery: Deep knowledge of CSS methodologies (e.g., BEM, CSS Modules, Tailwind, Styled Components), responsive design principles, and animations.

• Desktop Application Development: Proficiency in building applications for desktop and/or tablets using technologies like Electron, PyQT, or similar.

• Component-Driven Development: Familiarity with tools like Storybook for developing, testing, and documenting UI components.

• API Integration: Proficiency in working with RESTful APIs and WebSockets for real-time data-driven experiences.

• Accessibility & Performance: Expertise in ARIA roles, WCAG compliance, and performance optimization techniques, especially for data-intensive applications.

• Version Control: Proficiency with Git.

• Collaboration & Communication: Strong ability to collaborate effectively with cross-functional teams including designers, developers, and AI specialists.

Preferred Skills:

• Experience with SaaS, enterprise, or AI-driven products.

• Familiarity with data visualization libraries such as D3.js, Chart.js, or similar tools.

• Hands-on experience with real-time or streaming data in user interfaces.

• Contributions to open-source projects related to AI or UI development.

• Experience with AI/ML APIs such as OpenAI, Gemini, or Claude.

📝 Enhancement Note: The requirements clearly distinguish between general UI development expertise and the specific need for AI-related UI experience. The "1 year working on AI-related UI projects or data visualization" is a critical discriminator. Proficiency in both web (React, etc.) and desktop (Electron, PyQT) UI development indicates a need for versatility.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of UI Components: A strong portfolio or GitHub repository demonstrating your ability to build well-designed, reusable, and performant UI components.

• AI UI Integration Examples: Specific examples or case studies that highlight your experience in developing interfaces for AI applications, such as data visualization of AI outputs, interactive AI controls, or NLP-driven interfaces.

• Design System Contributions: Evidence of contributions to design systems, including documentation, standardization of patterns, and ensuring consistency across various features.

• API Interaction Examples: Projects that clearly illustrate your ability to integrate with RESTful APIs and WebSockets to create dynamic, real-time user experiences.

Process Documentation:

• Component Development Workflow: Demonstrate understanding of a structured workflow for developing, testing (e.g., using Storybook), and documenting UI components.

• Accessibility & Performance Implementation: Showcase how you approach and implement accessibility standards (WCAG) and performance optimizations in your UI development process.

• Cross-Functional Collaboration Process: Outline your process for collaborating with designers, AI specialists, and other engineers to translate requirements into functional UI solutions.

📝 Enhancement Note: The emphasis on a "strong portfolio or GitHub repository" is paramount. For this role, it's not just about showcasing code, but demonstrating practical application of UI skills to AI-driven features and design systems. The "AI-related UI projects or data visualization" experience needs to be clearly evident in the portfolio.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health insurance (medical, dental, vision).

• Paid time off (PTO), including vacation, sick leave, and public holidays.

• Professional development opportunities, including training, workshops, and conference attendance.

• Opportunities to work with cutting-edge AI technologies and contribute to innovative products.

• Potential for performance-based bonuses or stock options.

Working Hours:

• Standard Full-Time: 40 hours per week, with typical business hours aligning with Indian Standard Time (IST). Flexibility may be offered, but the role is on-site, requiring physical presence during core working hours.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for mid-level frontend developers in Bangalore with specialized AI UI experience. The benefits are typical for tech companies in India, with an emphasis on professional growth due to the role's innovative nature.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software, Cloud Computing, Database as a Service (DBaaS). Tessell operates in the competitive cloud infrastructure and data management space, focusing on providing a superior user experience for database services.

Company Size: Small to Medium-sized (implied by the specific job opening and focus on core product development). This often means a more agile environment with direct impact opportunities.

Founded: Tessell Inc. is a newer entrant to the market, likely founded in the last 5-10 years, aiming to disrupt traditional database management through a modern, cloud-native approach.

Team Structure:

• The UI Developer will likely be part of a dedicated UI/Frontend Engineering team.

• This team will collaborate closely with Product Management, UX Design, and AI/Machine Learning Engineering teams.

Methodology:

• Agile Development: Expect iterative development cycles, regular stand-ups, sprint planning, and retrospectives.

• Data-Driven Design: UI/UX decisions are informed by user research, data analytics, and A/B testing where applicable.

• Component-Based Architecture: Emphasis on building modular, reusable, and maintainable UI components.

• Focus on User Experience: A core tenet of Tessell's philosophy, driving innovation in how users interact with complex data services.

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

📝 Enhancement Note: Tessell's focus on "Database as a Service" and "unrivaled user experience" suggests a company culture that values innovation, user-centricity, and efficiency. The integration of AI points to a forward-thinking approach to product development.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level UI Developer. It requires a solid foundation in frontend technologies and practical experience in applying these skills to advanced areas like AI integration and design systems. The "AI" specialization elevates it beyond a standard UI role.

Reporting Structure: The UI Developer will report to a UI/Frontend Engineering Lead or Manager and will collaborate extensively with UX Designers and AI/ML Engineers. This structure allows for mentorship and exposure to different facets of product development.

Operations Impact: The UI Developer's work directly impacts the end-user experience of Tessell's DBaaS platform. By making AI features intuitive and accessible, they contribute significantly to customer adoption, satisfaction, and the overall value proposition of the product. This role is crucial for translating sophisticated technology into tangible user benefits.

Growth Opportunities:

• Specialization in AI UI: Deepen expertise in designing and developing interfaces for AI-powered applications, becoming a subject matter expert in this niche.

• Design System Leadership: Grow into a role focused on leading the evolution and governance of Tessell's design system, with a particular emphasis on AI components.

• Cross-Functional Skill Development: Gain deeper insights into AI/ML concepts, UX research methodologies, and backend integration through close collaboration.

• Senior/Lead UI Developer: Progress to a senior or lead position, taking on more complex projects, mentoring junior developers, and influencing technical direction.

📝 Enhancement Note: The role offers a clear path for growth within specialized areas of UI development, particularly at the intersection of AI and user experience. This is a key differentiator for ambitious UI developers looking to expand their skill set beyond traditional frontend work.

🌐 Work Environment

Office Type: On-site in Bangalore, India. This suggests a traditional office setting designed to foster collaboration, team cohesion, and direct communication.

Office Location(s): Bangalore, India. This is a major tech hub, offering access to talent and a vibrant ecosystem. Specific office details would be provided by the company.

Workspace Context:

• Collaborative Spaces: The office is likely equipped with meeting rooms, breakout areas, and open-plan workstations to facilitate team interaction and problem-solving.

• Technology Stack: Access to modern development tools, high-performance workstations, and necessary software licenses.

• Team Interaction: Frequent opportunities for face-to-face interaction with designers, fellow developers, and AI specialists, promoting a shared understanding of project goals.

Work Schedule: Standard full-time hours (approximately 40 hours per week) are expected, with the on-site requirement meaning consistent presence during business hours. While some flexibility might exist, the core expectation is being present in the office to leverage the collaborative environment.

📝 Enhancement Note: The on-site requirement signifies a preference for in-person collaboration, which can be advantageous for complex projects requiring frequent brainstorming and rapid iteration, especially when bridging the gap between AI engineering and user interface design.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application, focusing on resume and portfolio alignment with the job requirements.

• Technical Interview(s): Expect one or more technical interviews covering frontend fundamentals, JavaScript, CSS, framework knowledge (React/Vue/Angular), and problem-solving.

• Portfolio Review & Discussion: A dedicated session where you'll walk through your portfolio, discussing specific projects, your role, technical challenges, and how you approached AI UI integration or design system work.

• AI/ML Collaboration Discussion: Interviews may involve discussions about how you've collaborated with AI/ML teams or your understanding of integrating AI outputs into the UI.

• Behavioral & Cultural Fit Interview: Assess your teamwork, communication skills, problem-solving approach, and alignment with Tessell's company values.

• Final Interview: Potentially with senior leadership to discuss your overall fit and vision for the role.

Portfolio Review Tips:

• Highlight AI UI Projects: Ensure your portfolio prominently features projects that demonstrate your experience with AI-related UI development or data visualization. Clearly articulate the AI aspect and your contribution.

• Showcase Design System Work: If you have experience with design systems, present detailed examples of components you've built, documented, and maintained. Emphasize reusability and consistency.

• Explain Your Process: For each project, be ready to discuss your design and development process, including how you collaborated with stakeholders, handled technical challenges, and ensured performance and accessibility.

• Code Quality: For GitHub links, ensure your code is clean, well-organized, and includes clear READMEs.

• Quantify Impact: Where possible, use metrics to demonstrate the impact of your work (e.g., improved user engagement, reduced load times, increased accessibility compliance).

Challenge Preparation:

• Coding Challenges: Be prepared for live coding exercises or take-home assignments focusing on frontend development, component creation, and API integration.

• System Design (UI Focus): Practice designing scalable and maintainable UI architectures, especially for complex applications with AI components.

• Problem-Solving Scenarios: Anticipate questions about how you would approach specific UI challenges related to AI data representation, real-time updates, or user feedback loops.

📝 Enhancement Note: The emphasis on the portfolio and AI UI experience means candidates should curate their submissions to directly address these requirements. Being able to articulate the "why" and "how" behind their design and development choices, especially concerning AI, will be crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: React (preferred), Vue, Angular.

• JavaScript/TypeScript: ES6+, TypeScript.

• CSS Preprocessors/Methodologies: CSS-in-JS solutions (e.g., Styled Components), Tailwind CSS, BEM, CSS Modules.

• Desktop App Development: Electron, PyQT, or similar frameworks for cross-platform desktop applications.

• Component Development: Storybook for building, testing, and documenting UI components.

• Version Control: Git.

Analytics & Reporting:

CRM & Automation:

AI/ML APIs:

• Familiarity with integrating AI/ML APIs such as OpenAI, Gemini, or Claude to implement AI-powered UI features.

📝 Enhancement Note: The tech stack is modern and focused on robust frontend development. The inclusion of Electron/PyQT alongside web frameworks highlights the need for versatility in building both web and desktop applications. Familiarity with AI APIs is a key differentiator.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A strong focus on delivering an exceptional and intuitive user experience, especially when integrating complex AI features.

• Innovation: Encouraging exploration of new technologies and methodologies to push the boundaries of UI development and AI interaction.

• Collaboration: Valuing teamwork and open communication across design, development, and AI/ML disciplines to achieve shared goals.

• Quality & Craftsmanship: Commitment to building robust, performant, accessible, and well-documented UI components and applications.

• Data-Driven Decision Making: Using data and user feedback to inform UI design and development choices.

Collaboration Style:

• Cross-Functional Integration: Active collaboration with UX designers for user flows and aesthetics, and with AI specialists to understand model outputs and integration points.

• Iterative Feedback Loops: Regular sharing of work-in-progress, seeking and providing constructive feedback within the team and with stakeholders.

• Knowledge Sharing: Encouraging the sharing of best practices, new techniques, and learnings related to UI development, design systems, and AI integration.

📝 Enhancement Note: The company's emphasis on "unrivaled user experience" and integrating AI suggests a culture that is both technically advanced and highly user-focused. Collaboration is key, especially bridging the gap between abstract AI concepts and concrete user interfaces.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging AI and UI: Effectively translating complex, often abstract, AI model outputs and functionalities into clear, actionable, and intuitive user interfaces.

• Maintaining Consistency: Ensuring a unified user experience for AI-driven features across both web and desktop applications, and potentially across different AI models.

• Real-time Performance: Optimizing the performance of UIs that handle real-time data streams or complex AI inferences without compromising user experience.

• Accessibility of AI: Making AI-generated insights and interactions understandable and usable for a diverse user base, adhering to accessibility standards.

• Rapid Technological Evolution: Keeping pace with advancements in AI, frontend technologies, and component libraries to continuously improve the product.

Learning & Development Opportunities:

• AI/ML Fundamentals: Opportunity to gain a deeper understanding of AI/ML concepts and how they translate to UI design challenges.

• Advanced UI/UX Techniques: Develop expertise in areas like complex data visualization, real-time interactive UIs, and sophisticated design system architecture.

• Cross-Platform Development: Expand skills in building both web and desktop applications using frameworks like Electron.

• Industry Conferences & Training: Potential for attending relevant conferences or specialized training programs focused on AI, UI/UX, or specific technologies.

• Mentorship: Guidance from senior engineers and designers within the team.

📝 Enhancement Note: The primary challenge lies in the intersection of AI and UI. Growth opportunities are geared towards becoming a specialist in this emerging field, offering a unique career trajectory.

💡 Interview Preparation

Strategy Questions:

• AI UI Integration: "Describe a project where you integrated an AI feature into a user interface. What were the key challenges, and how did you address them?" (Prepare a case study focusing on your role, the AI aspect, and the UI solution).

• Design System Philosophy: "How do you approach building and maintaining a design system, especially for components that need to represent dynamic or AI-generated data?" (Focus on reusability, consistency, and documentation).

• Performance Optimization: "How would you optimize the performance of a UI that displays real-time data or complex AI predictions?" (Discuss techniques like lazy loading, data throttling, efficient rendering).

Company & Culture Questions:

• Tessell's Mission: "What interests you about Tessell's approach to Database as a Service and your focus on user experience?" (Research their website, understand their value proposition).

• Collaboration Style: "Describe your ideal working relationship with UX designers and AI engineers." (Emphasize communication, feedback loops, and shared understanding).

• AI Accessibility: "How do you ensure AI-generated content or features are accessible and understandable to all users?" (Discuss WCAG, clear language, visual aids).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly state the problem, your role, the technical solution (especially AI integration), the outcome, and lessons learned.

• Demonstrate AI Relevance: Highlight specific projects that showcase your ability to handle AI-related UI challenges, such as visualizing complex data, providing contextual recommendations, or enabling natural language interaction.

• Showcase Component Design: If discussing design system work, walk through component examples from Storybook or similar tools, explaining their design rationale and implementation details.

• Be Ready for Code Deep Dives: Have your GitHub repository accessible and be prepared to discuss specific code snippets, architecture decisions, and testing strategies.

📝 Enhancement Note: Preparation should heavily focus on the AI UI aspect. Candidates need to articulate not just their frontend skills but their understanding of how to represent AI effectively and intuitively to end-users.

📌 Application Steps

To apply for this UI Developer - AI position:

• Submit your application through the Tessell careers portal or via email to design.team@tessell.com.

• Curate Your Portfolio: Ensure your resume and portfolio/GitHub repository clearly highlight your 3-6 years of frontend experience, with specific emphasis on your AI-related UI projects or data visualization work. Showcase your skills in React/Vue/Angular, TypeScript, CSS, and desktop development (e.g., Electron).

• Tailor Your Resume: Integrate keywords from the job description such as "AI-Enhanced Web & Desktop Applications," "Design System," "REST & Socket APIs," "WCAG Compliance," and specific frameworks like "React" and "Electron." Quantify achievements where possible.

• Prepare Your Portfolio Walkthrough: Practice presenting 2-3 key projects from your portfolio, focusing on those that best demonstrate your ability to integrate AI features, build reusable components, and ensure performance and accessibility. Be ready to discuss your process and collaboration.

• Research Tessell: Understand Tessell's product (DBaaS), their mission of providing an "unrivaled user experience," and their focus on AI. Prepare thoughtful questions about the team, the technology, and the challenges of integrating AI into their platform.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details, especially regarding compensation and specific benefits, should be verified directly with Tessell Inc. through their official application channels.