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12 часов назад

Solution Architect/Forward Deployed Engineer (AI & Data Web Applications)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Solution Architect/Forward Deployed Engineer (AI & Data Web Applications) (AI & Data): Building production-ready AI-powered web applications that connect Databricks data platforms with modern web architectures, with an accent on LLM integration, real-time data, vector search, and scalable cloud infrastructure. Focus on designing full-stack solutions, implementing RAG pipelines and AI agents, and leading cross-functional engineering teams.

Location: Hybrid in Blumenau, Santa Catarina, Brazil

Company

hirify.global develops data-driven digital products and custom software, combining web and mobile application development, UX/UI design, digital consulting, and modern engineering technologies.

What you will do

  • Architect cloud-native AI applications integrating LLMs, vector search, real-time data, and scalable cloud infrastructure.
  • Design end-to-end web solutions spanning frontend and backend architecture.
  • Implement RAG pipelines, model serving, and AI agents for production environments.
  • Build and maintain Python backend services integrated with React or Angular frontends.
  • Lead cross-functional full-stack, AI, and data teams while translating business requirements into scalable technical solutions.
  • Ensure quality through testing, CI/CD, and cloud-native engineering practices.

Requirements

  • 7+ years of software engineering experience, including distributed systems design.
  • Strong full-stack experience with React and FastAPI.
  • Expert-level Python skills.
  • Hands-on experience with LLMs, vector databases, or RAG architectures.
  • Familiarity with Docker, CI/CD pipelines, and relational databases.
  • Strong product vision and UX/UI intuition.
  • Proactive, solution-oriented problem-solving skills and a user- and customer-focused approach.
  • Ability to take ownership of features across the full stack, work collaboratively, and maintain structured, quality-driven delivery.

Nice to have

  • Experience with Databricks, including Lakebase, MLflow, or Unity Catalog.
  • Experience with GenAI frameworks such as LangChain or AutoGen.
  • Experience with Node.js full-stack development.
  • Experience leading multidisciplinary engineering teams.

Culture & Benefits

  • Human-centered, challenging, and supportive work environment.
  • Mentoring system supporting personal and professional development.
  • Collaborative culture involving developers, designers, and business analysts.
  • Agile mindset, curiosity, ownership, and focus on usability and quality.
  • Contract employment in a hybrid workplace.

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