Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия сочетает архитектуру с практической разработкой production AI-систем, но широкий круг задач и формат контрактора оставляют неясными границы ответственности и условия работы.
?Широкая зона ответственности
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?Контрактный формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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