AI Engineer - Full-Stack & Applied UI

📍 Job Overview

Job Title: AI Engineer - Full-Stack & Applied UI

Company: Reltio

Location: Bangalore, India

Job Type: Full-Time

Category: Artificial Intelligence / Machine Learning Engineering, Full-Stack Development, UI/UX Engineering

Date Posted: March 31, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Remote Friendly (Bangalore, India)

🚀 Role Summary

• Drive end-to-end development of internal AI-powered applications and generative user interfaces, bridging complex AI reasoning systems with the human workforce.

• Leverage advanced AI coding assistants to accelerate the development lifecycle of secure, polished internal tools and workflow applications.

• Integrate modern front-end frameworks with backend Model Context Protocol (MCP) gateways and vector search APIs, ensuring seamless data flow and state management.

• Build and maintain reusable UI components, RAG retrieval modules, and generative UI templates that adhere to established architectural standards.

• Design and implement secure human-in-the-loop approval workflows and UX patterns for autonomous agent actions.

📝 Enhancement Note: This role is specifically for an AI Engineer who bridges the gap between complex AI backend systems and user-facing applications, with a strong emphasis on leveraging AI coding tools for rapid development and a focus on building internal enterprise tools. The "Reltio Brain" and "Context Intelligence Operating System" indicate a strategic initiative to embed AI deeply into Reltio's enterprise offerings.

📈 Primary Responsibilities

• Lead the design and implementation of highly responsive, intuitive front-end applications and custom agent dashboards capable of consuming streaming LLM responses and complex agentic outputs.

• Utilize AI coding assistants (e.g., Cursor, Claude Code, Codex) to significantly accelerate the iteration of prototypes and functional applications, acting as the technical execution engine for embedded AI Business Partners.

• Support the definition and establishment of an AI Software Development Lifecycle (SDLC) for implementing best-practice engineering patterns via agents, aligning with and accelerating established development, quality, and release processes.

• Operate autonomously within defined domain boundaries to connect modern front-end frameworks with backend MCP gateways and vector search APIs, ensuring robust full-stack connectivity.

• Implement and manage seamless authentication and state management across personal, team, and enterprise context layers within the AI ecosystem.

• Contribute to the creation of a reusable component library, including UI components, RAG retrieval modules, and generative UI templates, ensuring consistency in look, feel, and interaction patterns across all internal AI tools.

• Develop secure approval workflows and intuitive UX patterns that enable human operators to effectively review, modify, or veto high-stakes actions proposed by autonomous agents prior to execution.

📝 Enhancement Note: The responsibilities highlight a blend of advanced front-end development, strategic AI integration, and a focus on user experience for internal enterprise tools. The emphasis on AI-assisted coding and establishing an AI SDLC points to a forward-thinking development environment.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is strongly implied by the experience requirements.

Experience: 5+ years of full-stack software development experience, with a significant focus on modern front-end ecosystems. Experience in a 500–2,000 employee SaaS company or similar scale is preferred.

Required Skills:

• Expert-level proficiency in TypeScript, JavaScript, React, and Next.js.

• Extensive experience deploying and scaling applications on platforms like Vercel, particularly utilizing the Vercel AI SDK for streaming text and generative UI components.

• Strong capability in utilizing AI coding tools (e.g., Claude Code, Codex, Cursor) to dramatically accelerate personal output while maintaining strict code quality and security standards.

• Deep empathy for user experience and a proven ability to design interfaces that build trust between human workers and autonomous systems.

Preferred Skills:

• Familiarity with backend Python development for effective collaboration with backend/orchestration engineers.

• Experience in a 500–2,000 employee SaaS company or similar scale.

• Familiarity with OAuth and implementing Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) within UI layers to govern data access across L1/L2/L3 contexts.

• Working knowledge of deploying applications that interact securely with enterprise systems such as Salesforce, Jira, or NetSuite.

📝 Enhancement Note: The requirements emphasize modern frontend technologies and a unique skill in leveraging AI coding assistants. The preference for Python and enterprise system integration suggests a need for a well-rounded full-stack engineer capable of working across different parts of the AI ecosystem.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end projects demonstrating full-stack development capabilities, including frontend UI, backend integration, and API consumption.

• Highlight projects that utilize modern JavaScript frameworks like React and Next.js, with examples of complex component development and state management.

• Include examples of applications deployed on cloud platforms like Vercel, ideally with an understanding of Vercel AI SDK usage for streaming and generative UIs.

• Present case studies where AI coding assistants were instrumental in accelerating development cycles, illustrating the impact on speed and efficiency while maintaining quality.

Process Documentation:

• Projects should implicitly or explicitly demonstrate an understanding of the SDLC, with an emphasis on rapid prototyping and iteration.

• Showcase examples of integrating with backend systems or APIs, illustrating secure data handling and state management.

• If applicable, include examples of building reusable component libraries or design systems that promote consistency and efficiency.

• Illustrate experience with security best practices, such as implementing RBAC/ABAC or integrating with authentication protocols like OAuth.

📝 Enhancement Note: Given the emphasis on rapid development with AI assistants, the portfolio should strongly reflect this capability. Demonstrating an understanding of connecting frontend to backend AI services and focusing on user trust in AI interactions will be critical.

💵 Compensation & Benefits

Salary Range: Based on Reltio's presence in Bangalore, India, and the 5+ years of experience required for a specialized AI Engineer role, a competitive salary range would be estimated between ₹15,00,000 to ₹30,00,000 per annum. This range accounts for the high demand for AI and full-stack expertise, the specific technology stack (React, Next.js, Vercel AI SDK), and the strategic importance of the AI Hub initiative.

Benefits:

• Comprehensive health insurance coverage for employees and their dependents.

• Generous paid time off (PTO) and holidays, reflecting Reltio's commitment to work-life balance.

• Opportunities for professional development, including access to training, conferences, and certifications relevant to AI and full-stack development.

• Flexible work arrangements, including remote work options, supporting personal and professional life integration.

• Opportunities to work with cutting-edge AI technologies and contribute to a transformative "Enterprise AI Hub."

• Employee stock options or other equity participation, aligning employee success with company growth.

• Retirement savings plans or provident fund contributions.

Working Hours: Standard full-time working hours, likely around 40 hours per week, with flexibility for remote work. The emphasis on rapid development and AI assistance suggests an agile environment where focus and efficiency are prioritized.

📝 Enhancement Note: Salary estimates are based on industry benchmarks for experienced AI and Full-Stack Engineers in Bangalore, India, considering the SaaS industry and the specialized nature of the role. Benefits are standard for a tech company of Reltio's profile in India, with an emphasis on professional growth and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software, Data Management, Artificial Intelligence, SaaS. Reltio operates in the competitive data management space, focusing on AI-powered data unification and Master Data Management (MDM). The company is strategically investing in an "Enterprise AI Hub" to build a "Context Intelligence Operating System," indicating a strong push towards AI integration across its product suite.

Company Size: Reltio is a SaaS company with a significant employee base, likely falling within the 500-2000 employee range as indicated by the preferred skills. This size offers a balance of established processes and the agility to implement new initiatives like the AI Hub.

Founded: Reltio was founded in 2011. Its history as a data unification and MDM provider provides a strong foundation for its current AI-driven strategy. The company's distributed workforce model and flexible work arrangements are core to its culture.

Team Structure:

• The AI Engineer will be part of a specialized "Enterprise AI Hub" team responsible for creating the "Reltio Brain."

• This team likely includes backend AI engineers, agentic orchestration specialists, and AI Business Partners, with the AI Engineer acting as a key full-stack and UI developer.

Methodology:

• Data-Driven Innovation: Reltio emphasizes using data to fuel business success, and this extends to its AI initiatives, leveraging data for intelligent automation and insights.

• Agile Development: The mention of rapid prototyping and leveraging AI coding assistants suggests an agile and iterative development methodology.

• Customer-Centricity: Reltio's core value of "Customer First" implies that all AI development will be focused on delivering tangible business value and responsive solutions for their clients.

• Collaborative Engineering: The "Better Together" value suggests a strong emphasis on cross-functional teamwork and knowledge sharing.

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

📝 Enhancement Note: Reltio's culture emphasizes innovation, customer success, and collaboration, with a strategic focus on AI. The company's established presence in the MDM market combined with its investment in an AI Hub presents an exciting opportunity for engineers to work on transformative technologies.

📈 Career & Growth Analysis

Operations Career Level: This is a senior individual contributor role within the AI engineering domain, focusing on full-stack development with a specialized application in AI-driven user interfaces and internal tools. It sits at a level where significant technical ownership and innovation are expected.

Reporting Structure: The AI Engineer will likely report to an Engineering Manager or Lead within the Enterprise AI Hub, working closely with AI Business Partners and backend AI engineers.

Operations Impact: This role has a direct impact on Reltio's ability to deliver advanced AI capabilities to its enterprise customers. By building the interfaces and workflows that enable internal teams and potentially future customer-facing applications, the AI Engineer directly contributes to the "Context Intelligence Operating System" and Reltio's competitive edge in the AI-powered data management market.

Growth Opportunities:

• Technical Specialization: Deepen expertise in generative AI, LLM integration, vector databases, and advanced frontend architectures for AI applications.

• Leadership in AI Development: Grow into a technical lead or architect role within the AI Hub, guiding future development and best practices.

• Cross-Functional Exposure: Gain broader experience by collaborating on integrations with Reltio's core MDM platform and other enterprise systems.

• Mentorship: Opportunities to mentor junior engineers and contribute to the AI SDLC definition and adoption.

• Emerging AI Technologies: Continuous learning and application of new AI tools and techniques in a fast-evolving field.

📝 Enhancement Note: This role offers significant growth potential for engineers passionate about AI and full-stack development. The opportunity to shape a new "Enterprise AI Hub" and contribute to a core strategic initiative provides a clear path for career advancement and skill development.

🌐 Work Environment

Office Type: Reltio operates with a distributed workforce model and offers flexible work arrangements, including remote options. While there may be physical office locations, the role is amenable to remote work, particularly for candidates in Bangalore.

Office Location(s): Primary mentioned location is Bangalore, India. Reltio has offices globally, but for this role, Bangalore is specified as the primary hub or location for remote work.

Workspace Context:

• Remote-First Culture: Expect a work environment that is well-equipped for remote collaboration, utilizing digital tools for communication and project management.

• Agile & Innovative: The environment is likely fast-paced, encouraging rapid iteration and experimentation, especially with the focus on AI-assisted development.

• Collaborative Tools: Access to modern collaboration platforms, code repositories, and potentially specialized AI development environments.

• Focus on Efficiency: The use of AI coding assistants implies an environment that values and actively seeks to enhance developer productivity and efficiency.

Work Schedule: A standard full-time schedule (approx. 40 hours/week) is expected, with flexibility often provided in remote roles. Core working hours likely exist to facilitate team collaboration, but the emphasis is on results and efficient delivery.

📝 Enhancement Note: The remote-friendly nature of the role, combined with Reltio's established distributed workforce model, suggests a mature environment for remote collaboration and flexible work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on your full-stack experience, AI tool usage, and frontend expertise.

• Technical Interview(s): Expect in-depth technical discussions covering TypeScript, React, Next.js, Vercel deployment, and your experience with AI coding assistants. You may be asked to whiteboard code snippets or discuss architectural patterns.

• Portfolio Review: Be prepared to walk through specific projects from your portfolio that demonstrate your full-stack capabilities, AI integration experience, and UI/UX design skills. Focus on projects where you leveraged AI coding tools.

• Behavioral & Cultural Fit Interview: Questions will assess your alignment with Reltio's values (Customer First, Better Together, Simplify and Share, Own It, Always Better Than Yesterday) and your ability to work in a fast-paced, collaborative, and innovative environment.

• Hiring Manager/Team Lead Interview: A final discussion to assess your overall fit for the team, your strategic thinking regarding AI applications, and your understanding of the role's impact.

Portfolio Review Tips:

• Showcase AI-Assisted Development: Highlight projects where you consciously used AI coding tools to speed up development. Quantify the time saved or efficiency gained if possible.

• Demonstrate Full-Stack Proficiency: Ensure your portfolio includes examples that clearly show your ability to build complete applications, from UI to backend integration.

• Focus on UI/UX for Trust: For projects involving AI, emphasize how you designed interfaces to build user trust and facilitate human-AI collaboration.

• Vercel & AI SDK Experience: If you have specific examples using Vercel, Next.js, and the Vercel AI SDK, make them prominent.

• Problem-Solution Narrative: For each project, articulate the problem you solved, your approach, the technologies used, and the outcome, particularly focusing on the role of AI and your full-stack contributions.

Challenge Preparation:

• Frontend Coding Challenge: Be ready for a coding exercise focusing on React/Next.js, potentially involving API integration or complex UI state management.

• AI Integration Scenario: You might be presented with a hypothetical scenario requiring you to design an AI-powered feature or workflow, and how you would implement the full-stack solution.

• System Design: Prepare for questions about designing scalable and secure full-stack applications, especially in the context of AI services.

• AI Tool Usage Strategy: Be ready to discuss your strategy for integrating AI coding assistants into your workflow effectively and responsibly.

📝 Enhancement Note: The interview process will likely test both technical depth in modern frontend and full-stack development, as well as your strategic approach to leveraging AI tools for rapid and impactful development.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend: TypeScript, JavaScript, React, Next.js, Vercel AI SDK.

• AI Coding Assistants: Cursor, Codex, Claude Code, and similar tools.

• Deployment & Hosting: Vercel.

• Backend Connectivity: Model Context Protocol (MCP) gateways, vector search APIs.

• Security & Access Control: OAuth, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC).

• Enterprise Systems (Preferred): Salesforce, Jira, NetSuite.

Analytics & Reporting: While not explicitly listed, expect to use standard web analytics tools for frontend performance and potentially internal dashboards for tracking AI application usage and performance.

CRM & Automation: Experience with enterprise CRM systems like Salesforce is a plus for integration purposes. Automation will be a key theme, especially through AI-assisted development and agentic orchestration.

📝 Enhancement Note: The tech stack is heavily weighted towards modern frontend development and the integration of AI services. Proficiency with Vercel and AI coding tools is a key differentiator.

👥 Team Culture & Values

Operations Values:

• Customer First: All development efforts, especially AI initiatives, are geared towards delivering tangible value and responsiveness to Reltio's enterprise clients.

• Better Together: Emphasizes a collaborative environment where cross-functional teams, including AI engineers, backend specialists, and business partners, work cohesively.

• Simplify and Share: Encourages open communication, knowledge sharing, and the dissemination of best practices, particularly around new AI development methodologies.

• Own It: Fosters a sense of accountability and ownership over projects, from initial concept to deployment and impact measurement.

• Always Better Than Yesterday: Promotes a culture of continuous improvement, innovation, and embracing new technologies like AI coding assistants to enhance productivity and outcomes.

Collaboration Style:

• Cross-Functional Integration: Engineers will work closely with AI Business Partners to translate business needs into functional AI applications, and with backend engineers for API integration.

• Agile & Iterative: Expect a dynamic collaboration style focused on rapid prototyping, feedback loops, and iterative development cycles.

• Knowledge Sharing: A culture that values sharing insights, code patterns, and best practices, especially concerning AI development and tool usage.

📝 Enhancement Note: Reltio's core values are deeply integrated into its operational philosophy, encouraging a proactive, collaborative, and continuously improving work environment, particularly vital for a cutting-edge team like the AI Hub.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast pace of AI development, new models, and evolving best practices for AI coding assistants and LLM integration.

• Bridging AI Complexity with UI Simplicity: Translating sophisticated AI backend logic into intuitive, trustworthy, and user-friendly interfaces for internal enterprise users.

• Ensuring Security and Trust: Implementing robust security measures and UX patterns that build confidence in autonomous agent actions, especially for high-stakes decisions.

• Defining AI SDLC Best Practices: Contributing to and establishing new development processes and standards for building AI-powered applications within an enterprise context.

• Scalability and Performance: Ensuring that AI-driven applications are performant, scalable, and seamlessly integrated with existing enterprise systems.

Learning & Development Opportunities:

• Mastering AI-Assisted Development: Becoming a highly proficient user of AI coding tools, optimizing workflows for maximum efficiency and quality.

• Deep Dive into Generative AI: Gaining hands-on experience with LLMs, RAG systems, and agentic orchestration frameworks.

• Advanced Frontend Architecture: Exploring and implementing cutting-edge frontend patterns for complex, data-intensive, and AI-driven applications.

• Enterprise Integration: Understanding and implementing secure integrations with key enterprise systems.

• Contribution to Core AI Strategy: Playing a pivotal role in shaping Reltio's "Context Intelligence Operating System" and its AI product roadmap.

📝 Enhancement Note: The role presents significant challenges in a cutting-edge field, offset by substantial opportunities for professional growth and impact within Reltio's strategic AI initiatives.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex frontend application you've built and how you ensured its scalability and user experience." (Prepare to discuss React/Next.js architecture, state management, and UI design principles.)

• "How have you leveraged AI coding assistants in your development workflow? Provide a specific example of how it accelerated your work and what challenges you encountered." (Focus on tools like Cursor/Codex/Claude Code, quantify impact, and discuss quality control.)

• "Imagine you need to build a UI for an autonomous agent that requires human approval for critical actions. How would you design the interface and workflow to ensure trust and efficiency?" (Discuss UX patterns for review, modification, veto, and clear communication of AI reasoning.)

• "Walk me through your process for connecting a modern frontend application to a backend API, focusing on authentication, data handling, and state management." (Detail your full-stack integration approach.)

Company & Culture Questions:

• "How do Reltio's values (Customer First, Better Together, etc.) resonate with your work style and professional philosophy?" (Prepare examples that align with each value.)

• "Describe a time you had to collaborate with engineers from different specializations (e.g., backend, AI) to deliver a project. What was your approach?" (Focus on communication, problem-solving, and achieving shared goals.)

Portfolio Presentation Strategy:

• Select Relevant Projects: Choose 2-3 projects that best showcase your full-stack capabilities, AI tool utilization, and frontend expertise. Prioritize projects involving AI integration or complex UI development if possible.

• Quantify Impact: For each project, clearly state the problem, your solution, the technologies used, and the measurable outcomes (e.g., time saved, efficiency gained, user satisfaction).

• Highlight AI Tool Usage: Explicitly discuss how AI coding assistants were used, the benefits they provided, and how you maintained code quality and security.

• Focus on User Experience: For UI-heavy projects, emphasize your design process and how you ensured an intuitive and trustworthy user experience.

• Be Prepared for Technical Deep Dives: Anticipate questions about your code, architectural decisions, and specific implementation details.

📝 Enhancement Note: Prepare to discuss your practical experience with AI coding tools and how you translate complex AI concepts into functional, user-friendly applications.

📌 Application Steps

To apply for this AI Engineer position:

• Submit your application through the Reltio careers portal via the provided link.

• Tailor your resume: Highlight your expertise in TypeScript, React, Next.js, Vercel, and any experience with AI coding assistants. Quantify achievements where possible, especially related to development speed or efficiency gains.

• Prepare your portfolio: Curate examples of your full-stack projects, emphasizing those that demonstrate your ability to build complex UIs, integrate with APIs, and ideally, leverage AI development tools or concepts.

• Research Reltio: Understand their "Enterprise AI Hub" initiative, their MDM solutions, and their company values to articulate your alignment during interviews.

• Practice your technical narrative: Be ready to discuss your approach to full-stack development, AI integration, and user experience design, drawing from your portfolio and experience.

⚠️ 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.

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