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14 часов назад

Senior GenAI Engineer (AI)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
c1
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

Senior GenAI Engineer (AI): Designing, building, and scaling advanced Generative AI and Agentic AI solutions for enterprise clients with an accent on RAG pipelines and agent-based architectures. Focus on developing production-grade Python tooling, secure sandboxed execution environments, and automated evaluation frameworks for AI agents.

Location: Remote (Must be based in Brazil)

Company

hirify.global is a global technology company specializing in digital transformation and AI-native execution for large enterprises.

What you will do

  • Design and maintain GenAI and Agentic AI applications for production environments.
  • Build customizable agent solutions using LangChain, DeepAgents, Strands AI, or similar SDKs.
  • Implement RAG pipelines, external knowledge integrations, memory management, and context orchestration.
  • Develop secure sandboxed execution environments and MCP (Multi-Cloud Platform) tooling.
  • Implement observability, tracing, logging, and monitoring for prompt performance and cost optimization.
  • Create automated evaluation frameworks, regression tests, and human-in-the-loop approval workflows.

Requirements

  • English: Advanced/Fluent (C1 or higher) is mandatory.
  • Location: Must be based in Brazil.
  • Strong hands-on experience with Generative AI, LLMs, RAG, and agent-based architectures.
  • Proficiency in Python and software engineering best practices.
  • Experience designing secure, scalable, and production-ready AI systems.
  • Proven experience working with international clients and global teams.

Nice to have

  • Experience deploying AI solutions in Azure, AWS, or GCP.
  • Familiarity with Databricks, Vertex AI, Azure OpenAI, or Amazon Bedrock.
  • Experience with Docker, Kubernetes, and containerized AI workloads.
  • Knowledge of MLOps and AI/ML pipeline automation.
  • Understanding of AI security, governance, compliance, and data privacy.

Culture & Benefits

  • Opportunity to work on large-scale AI transformation initiatives for global clients.
  • Collaborative, growth-oriented, and technology-driven work environment.
  • Remote-first (Homeoffice) work arrangement.
  • Engagement with a global team spanning more than 25 countries.

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