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Senior Full-Stack Engineer (AI)

Формат работы
remote (только Latam)
Тип работы
project
Грейд
senior
Английский
b2
Страна
US
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
Senior Full-Stack Engineer (AI): Building AI-enabled internal tools, integrations, web applications, microservices, and LLM-powered features for a pediatric mental health technology platform with an accent on end-to-end architecture, rapid prototyping, and stakeholder collaboration. Focus on designing and deploying autonomous solutions, integrating existing systems, and translating technical decisions into clear language for non-technical users.

Location: Remote in Latin America

Company

hirify.global provides nearshore staff augmentation and technology solutions to U.S. companies; the client operates a data-driven pediatric mental health platform using collaborative care, coaching, therapy, and licensed pediatric psychiatry.

What you will do

  • Work with non-technical stakeholders to understand workflows and identify opportunities for AI-enabled improvements.
  • Design and own solution architecture end to end, including applications, infrastructure, tooling, and deployment.
  • Build and ship internal tools such as autonomous agents, web applications, microservices, system integrations, and suitable LLM-powered features.
  • Use AI coding tools to prototype quickly, present working versions to users, and iterate based on feedback.
  • Explain technical decisions and progress to stakeholders in plain language, report to engineering management, and flag gaps early.
  • Set up local environments, work with the platform team on production deployment, and follow data privacy, security, and governance controls.

Requirements

  • Senior-level full-stack engineering experience with the ability to design and build applications end to end.
  • Strong Java or Python experience, with React preferred.
  • Excellent communication and stakeholder management skills, including translating technical work for non-technical stakeholders.
  • Product sense: ability to visualize products, understand stakeholder needs, and propose suitable solutions without a ticket or specification.
  • Genuine enthusiasm for AI and an AI-first daily workflow.
  • Experience integrating LLMs into applications, or strong full-stack experience combined with relevant AI prototypes; production LLM experience is not mandatory.
  • Autonomy in owning architecture, infrastructure, and tooling and reporting progress without task-by-task management.
  • Basic infrastructure experience with containers, Kubernetes, and AWS, including running services locally and working with a platform team on production deployment.
  • Successful completion of the client AI transformation assignment, including a recorded video.

Culture & Benefits

  • 100% remote work from Latin America with a laptop and reliable internet connection.
  • Competitive compensation paid in USD.
  • Paid time off and an emphasis on well-being and work-life balance.
  • Autonomous work focused on results rather than fixed working hours.
  • Projects with innovative U.S. companies and collaboration across a diverse network of 600+ professionals in 25+ countries.
  • Six-month project with varied assignments, including solo and paired engineering work across multiple teams.

Hiring process

  • Complete the client AI transformation assignment.
  • Submit a recorded video as part of the assignment.

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