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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Проект на полгодаЗарплата не указанаШирокая зона ответственностиСовременный стекЗдравоохранение и AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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