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13 часов назад

Full-Stack Engineer (AI)

100 000 - 120 000$
Формат работы
remote (только Argentina)
Тип работы
fulltime
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Full-Stack Engineer (AI): Building and scaling customer-facing AI-powered applications, analytics dashboards, APIs, and automation tools with an accent on LLM integration, RAG pipelines, and end-to-end cloud delivery. Focus on designing secure, scalable systems, integrating third-party data sources, and translating complex social media and audience data into intuitive user experiences.

Location: Remote from Argentina

Salary: $100,000–$120,000 per year, plus equity and bonus.

Company

Builds AI-powered marketing content and customer-facing tools that transform founder interviews, pitch decks, and internal materials into social posts, blogs, newsletters, podcasts, and press releases.

What you will do

  • Design, develop, maintain, and deploy full-stack applications across frontend, backend, databases, APIs, and cloud services.
  • Integrate LLMs, agentic AI frameworks, RAG pipelines, and modern AI development tools into production products.
  • Build customer-facing dashboards that visualize social media metrics, engagement trends, content performance, sentiment, and audience insights.
  • Develop AI-powered customer service tools such as chatbots, auto-reply systems, and intelligent routing.
  • Own projects end to end, including testing, deployment, monitoring, post-launch optimization, and automation.
  • Collaborate with product, design, and engineering stakeholders to create intuitive, reliable user experiences.

Requirements

  • Strong experience delivering production-grade applications independently with ownership and accountability.
  • Backend expertise with Python, SQL/NoSQL database design, and REST API development.
  • Frontend experience with JavaScript or TypeScript, HTML5, CSS, and React or similar frameworks.
  • Experience with AWS, Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
  • Deep knowledge of AI development tools, LLMs, agentic AI frameworks, RAG pipelines, NLP, recommendation engines, and automation frameworks.
  • Ability to build secure, scalable, performant, and automated systems, including microservices or event-driven architectures and data engineering pipelines.

Nice to have

  • AWS experience.
  • Experience building applications for social media analytics, customer service automation, or interactive data dashboards.

Culture & Benefits

  • Meaningful equity in a venture-backed AI startup.
  • Career growth, mentorship from engineering and AI leaders, and opportunities to shape the role.
  • Creative autonomy to experiment, iterate, and lead initiatives.
  • Close collaboration with the founder and engineering leadership.
  • Bonus compensation in addition to salary.

Hiring process

  • Silver recruiting screen followed by a system design interview.
  • Client screening interviews with the hiring manager and an engineering team member.
  • Take-home assignment, review interview, and final interview with the CEO.

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