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4 дня назад

Software Engineer, Agentic AI

249 000 - 409 000BRL
Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Agentic AI (Python/LLMs): Building scalable backend systems, ML-powered tools, and production-ready AI applications for client deployments with an accent on agentic AI, RAG pipelines, cloud infrastructure, and MLOps. Focus on designing model-serving systems, optimizing machine learning operations, and solving complex client use cases in collaboration with data scientists and engineering teams.

Location: Brazil - Remote

Annual salary: R$ 249,000–R$ 409,000 BRL, depending on level and location-based pay tier.

Company

hirify.global provides an end-to-end AI platform for structuring data, automating workflows, deploying agentic solutions, measuring outcomes, and integrating human expertise.

What you will do

  • Build and maintain scalable backend systems, data-processing pipelines, and ML-powered tools.
  • Design, deploy, and operate production machine learning systems and AI applications.
  • Manage and optimize cloud infrastructure for machine learning workloads.
  • Collaborate with ML engineers, data scientists, researchers, and software engineers to integrate AI technologies.
  • Work directly with clients on use case discovery, product development, and AI deployments.
  • Participate in R&D initiatives to develop new AI tools and improve platform performance.

Requirements

  • 2+ years of software engineering experience, with a focus on ML engineering and deploying models in production.
  • Strong full-stack development experience, particularly with backend systems supporting AI/ML workloads.
  • Strong Python skills and expertise in LLMs, AI agents, and ML model development.
  • Experience designing scalable ML systems, including RAG pipelines and production-grade AI applications.
  • Experience with AWS, GCP, or Azure, Kubernetes, MLOps, model versioning, monitoring, and lifecycle management.
  • Ability to write organized code and automated unit and end-to-end tests, work with SQL and NoSQL persistence, and collaborate effectively with clients and cross-functional teams.

Nice to have

  • Experience working in unstructured environments and independently investigating complex technical problems.

Culture & Benefits

  • Remote work from Brazil for this position.
  • Full-time offers include bonuses and equity.
  • Compensation reflects regional market conditions, cost of living, experience, skills, and internal pay equity.
  • Work involves direct collaboration with clients and a fast-paced environment focused on ownership, innovation, and AI development.

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