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AI Engineer - Full-Stack & Applied UI

Оценка ИИ

Интересная позиция в инновационном подразделении Enterprise AI Hub крупной SaaS-компании. Использование передового стека и фокус на AI-assisted разработку делают вакансию привлекательной для современных инженеров.


Вакансия из Quick Offer Global, списка международных компаний
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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня владения современным стеком (Next.js, Vercel AI SDK) и умения работать с инструментами ИИ-разработки. Основная сложность заключается в необходимости быстрого прототипирования сложных интерфейсов для потоковых данных от LLM.

Анализ зарплаты

Медиана55 000 $
Рынок40 000 $ – 75 000 $
Оценка ИИ

Зарплата для AI-инженеров в Бангалоре значительно выше среднего по рынку ИТ из-за высокого спроса на навыки работы с LLM и современными фреймворками. Указанный диапазон отражает уровень Senior-специалиста в международной продуктовой компании.

Сопроводительное письмо

I am writing to express my strong interest in the AI Engineer (Full-Stack & Applied UI) position at Reltio. With over 5 years of experience in full-stack development and a deep expertise in React, Next.js, and the Vercel AI SDK, I am excited by the opportunity to build the generative interfaces that will power the 'Reltio Brain'. My background in creating responsive, streaming UI components aligns perfectly with your mission to bridge the gap between complex AI reasoning and human-centric workflows.

I am particularly impressed by Reltio's forward-thinking approach to the AI SDLC and the use of AI-assisted coding tools like Cursor and Claude Code. As a 'hacker-minded' builder, I have already integrated these tools into my daily workflow to accelerate development cycles without compromising on security or code quality. I am eager to bring my skills in building secure Human-in-the-Loop patterns and RAG-driven interfaces to your Enterprise AI Hub and contribute to the 'Always Better Than Yesterday' culture.

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Описание вакансии

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

We are building a highly specialized Enterprise AI Hub to engineer the "Reltio Brain"—a Context Intelligence Operating System that transforms fragmented institutional knowledge into governed, autonomous action.

As the AI Engineer (Full-Stack & Applied UI), you are the critical bridge between complex AI reasoning systems and the human workforce. While backend systems handle the heavy lifting of vector search and agentic orchestration, you will be a senior engineer delivering end-to-end solutions and patterns within the established Enterprise AI framework. You will build the internal sandboxes, generative user interfaces, and workflow applications that allow Reltio’s embedded AI Business Partners to interact seamlessly with our AI ecosystem.

This role requires a "hacker-minded" builder who leverages modern AI coding assistants (like Cursor, Codex, and Claude Code) to dramatically accelerate front-end development, translating functional business requirements into polished, secure internal tools in days, not weeks.

Job Duties and Responsibilities:

Generative Interface Development:

  • Lead complex implementations of highly responsive, intuitive front-end applications and custom agent dashboards that consume streaming LLM responses and complex agentic outputs.

Rapid Prototyping & AI-Assisted Coding:

  • Leverage modern AI coding assistants (e.g., Cursor, Claude Code, Codex) to rapidly iterate on prototypes.
  • You will act as the technical execution engine for embedded AI Business Partners, turning their defined workflows into functional realities.
  • Support defining and establishing the AI SDLC for implementing best practice engineering patterns via agents to align to and accelerate established development, quality, and release processes.

Full-Stack Connectivity:

  • Operate with autonomy within defined domain boundaries to connect modern front-end frameworks to backend Model Context Protocol (MCP) gateways and vector search APIs.
  • Ensure seamless authentication and state management across personal, team, and enterprise context layers.

Component Library Creation:

  • Contribute to reusable UI components, RAG retrieval modules, and generative UI templates—executing within established architectural standards to maintain the look, feel, and interaction patterns of all internal AI tools.

Human-in-the-Loop Integration:

  • Build secure approval workflows and UX patterns that allow human operators to review, modify, or veto high-stakes actions proposed by autonomous agents before execution.

Skills You Must Have:

  • 5+ years of full-stack software development with a heavy emphasis on modern frontend ecosystems.
  • 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.
  • A deep empathy for user experience and an understanding of how to design interfaces that build trust between human workers and autonomous systems.

Skills That Are Nice to Have:

  • Familiarity with backend Python development to collaborate effectively 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 like Salesforce, Jira, or NetSuite.

Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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Навыки

  • TypeScript
  • Python
  • OAuth
  • RBAC
  • Salesforce
  • JavaScript
  • NetSuite
  • RAG
  • React
  • Jira
  • Next.js
  • ABAC
  • Vercel AI SDK

Возможные вопросы на собеседовании

Проверка опыта работы с потоковой передачей данных от языковых моделей, что критично для этой роли.

Расскажите о вашем опыте использования Vercel AI SDK для реализации потоковых (streaming) ответов в интерфейсе. С какими трудностями вы сталкивались?

Вакансия делает упор на использование ИИ-ассистентов для ускорения разработки.

Как вы используете Cursor или Claude Code в своем рабочем процессе? Как вы обеспечиваете качество и безопасность кода, сгенерированного ИИ?

Важная часть работы — создание интерфейсов, где человек одобряет действия агента.

Как бы вы спроектировали UX-паттерн для Human-in-the-Loop системы, чтобы минимизировать риск ошибки при выполнении ИИ-агентом критически важного действия?

Проверка навыков интеграции фронтенда с инфраструктурой ИИ.

Был ли у вас опыт работы с Model Context Protocol (MCP) или интеграции фронтенда с векторными базами данных?

Роль предполагает работу на стыке фронтенда и бэкенда.

Насколько уверенно вы чувствуете себя в Python при необходимости доработки бэкенд-логики или эндпоинтов для ваших UI-компонентов?

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