13 часов назад
Full-Stack Engineer (AI)
100 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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