Full-Stack AI Engineer

Vaga não está no LinkedIn

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 25%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Productiv Teams

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

Productiv Teams é uma empresa de serviços de TI e entrega de talentos nearshoring que constrói e coloca equipes técnicas altamente produtivas para empresas ao redor do mundo. Eles utilizam uma estratégia de recrutamento global, guiada por IA, para encontrar engenheiros e especialistas (notadamente expertise em Salesforce e Microsoft), alinhar as contratações aos fusos horários dos clientes, e fornecer suporte de ponta a ponta desde a contratação e integração até a implementação, manutenção e consultoria de TI. A empresa enfatiza a rapidez na contratação (3–6 semanas), suporte a clientes empresariais e soluções de pessoal sob medida para acelerar iniciativas digitais.

Descrição

• Build and maintain components of an enterprise-grade agentic development environment using Kiro or similar platforms • Implement multi-agent workflows for requirements generation, design, code generation, testing, and documentation • Contribute to scalable development patterns and reusable frameworks for application delivery • Develop MVPs and proofs of concept with Product and Design partners • Convert business requirements and natural language inputs into user stories, technical designs, UI prototypes, and working applications • Iterate on concepts through AI-assisted development cycles and gather stakeholder feedback • Build and maintain application templates, starter kits, Angular component libraries, NestJS/Node.js service frameworks, AI agent workflows, and prompt libraries • Apply and promote consistent architecture and coding standards across teams • Write clean, well-tested, and well-documented code and participate in code reviews • Integrate LLM-based tools into the software delivery lifecycle, including CI/CD pipelines • Evaluate AI-generated output for correctness, security, and maintainability and improve prompts and workflows • Support adoption of AI-native development practices across Product, Design, and Engineering teams • Help implement governance, security, quality controls, and validation processes for AI-generated artifacts • Contribute to workshops, demos, and documentation • Mentor mid-level and junior developers • Work within the architectural direction set by platform architects and own feature delivery end to end

🎯 Requisitos

• 5+ years of professional full-stack development experience • Strong hands-on expertise in NestJS, TypeScript, and Angular • Solid understanding of software architecture, REST/GraphQL APIs, microservices, and cloud-native application development • Experience building or contributing to developer platforms, internal tools, accelerators, or platform engineering solutions • Track record of delivering rapid prototypes, MVPs, or innovation initiatives • Working knowledge of CI/CD, DevOps practices, and automated testing frameworks, including unit, integration, and end-to-end testing • Ability to collaborate effectively with Product, Design, and Engineering stakeholders and communicate technical concepts clearly • Hands-on experience with AI coding tools, agentic AI platforms, or multi-agent frameworks • Experience with Kiro preferred • Experience with LLMs, prompt engineering, MCP architectures, or AI orchestration platforms preferred • Background in Developer Experience, Platform Engineering, or Internal Developer Platforms preferred • Experience building or contributing to enterprise design systems and reusable UI libraries preferred • Experience mentoring engineers or contributing to AI adoption and innovation programs preferred • Availability to work 11:00 am–7:00 pm local time to overlap with US hours

🏖️ Benefícios

• Remote work arrangement • Full-time employment option • B2B contract option

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