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Чётко описанная senior-роль сочетает full-stack-разработку, внедрение AI в production, современную инфраструктуру и влияние на продукт; при этом график по EST из Бразилии важно учитывать.
График по EST
Современный AI-стек
Влияние на продукт
Понятная роль
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Full-Stack Engineer (AI) (Python/Node.js/React/TypeScript): Building and scaling end-to-end product features for an AI coordination layer serving marketing teams, with an accent on full-stack architecture, LLM integrations, RAG pipelines, and distributed services. Focus on designing reliable APIs and data flows, integrating generative AI into production applications, and driving architecture decisions across frontend, backend, and infrastructure.
Location: Brazil; fully remote, supporting a team in the EST time zone from 9 AM–5 PM EST
Company
hirify.global operates a performance marketing agency and is building Shadow, an AI coordination layer for consumer-brand marketing teams with shared AI memory, centralized agent control, and model orchestration.
What you will do
Architect and implement scalable full-stack features from database schemas through React components.
Build and maintain RESTful and GraphQL APIs, data pipelines, and distributed services in GCP.
Integrate, prompt, debug, and productionize LLMs and generative AI tools, including RAG or fine-tuning pipelines.
Ensure reliable interoperability, data flow, and contracts between frontend and backend systems.
Collaborate with product, research, design, and infrastructure teams to define requirements and ship production-grade code.
Monitor performance, reliability, and security while mentoring junior engineers through reviews and shared practices.
Requirements
5+ years of professional software engineering experience with end-to-end ownership in a full-stack role.
Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
Hands-on experience with GCP, Docker, Kubernetes, and high-traffic systems.
Production experience integrating AI/ML models, including LLMs, NLP, and RAG.
Familiarity or strong interest in MCP servers.
Exceptional problem-solving skills, a product mindset, and attention to UX, performance, business impact, technical details, and end-user experience.
Nice to have
Experience with multi-step or agentic AI workflows.
Background in AI infrastructure or tooling companies.
Contributions to open-source AI/ML projects.
Culture & Benefits
Fully remote work with unlimited PTO and local holidays relevant to the employee's hub.
Remote-first culture; employees based in or near New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include Brazil and Spain.
Flexible parental leave.
Interdisciplinary work providing exposure beyond the core role and opportunities for professional growth.
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