Fullstack AI Engineer - Sênior

Jobgether SRL

Brasil

Teletrabalho

BRL 180 000 - 300 000

Tempo integral

há 27 horas
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Vantagens oferecidas por esta oferta de emprego

Fully remote position in Brazil

Resumo da oferta

Jobgether SRL, on behalf of a partner company, seeks a Senior Fullstack AI Engineer in Brazil. You will prototype, automate, and integrate AI-powered workflows across Node.js, React, Python, and PHP while collaborating with product and business teams.

You will use n8n, Claude Copilot, LangChain, and OpenAI tools to accelerate delivery, ensure security, and translate complex tech into clear terms for stakeholders. This remote role offers autonomy and tangible business impact.

Qualificações

  • - 5+ years of professional software development experience.
  • - Hands-on AI-assisted software development with tools like Claude Code, Lovable, GitHub Copilot, or similar.
  • - Experience designing or developing AI Agents and intelligent workflows.
  • - Ability to translate business needs into future-state technical solutions.
  • - Practical experience with n8n for workflow automation and system integrations.
  • - Rapid prototyping and evolution of MVP concepts.
  • - Strong knowledge of Node.js, React, and REST API integration.
  • - Python for automation and data processing.
  • - Familiarity with PHP and multi-stack development.
  • - Knowledge of LangChain/LangGraph.
  • - Understanding of cloud, Docker, CI/CD, and serverless.
  • - Generative AI, LLMs, prompts, and AI APIs.
  • - Strong communication and collaboration skills.
  • - Autonomous, delivery-focused mindset.
  • - Ability to explain complex concepts to non-technical stakeholders.
  • - Innovative, risk-tolerant attitude.
  • - Nice-to-have: RAG, embeddings, vector databases.
  • - Nice-to-have: LGPD, data security, and AI governance.
  • - Nice-to-have: BMAD methodology and agent orchestration.
  • - Nice-to-have: experience in education or healthcare settings.
  • - Nice-to-have: familiarity with TOTVS/RM or Protheus.

Responsabilidades

  • - Develop prototypes and MVPs using generative AI, automation, APIs, and modern web tech.
  • - Design automated workflows with n8n and API integrations.
  • - Leverage AI-assisted development tools to accelerate delivery.
  • - Build solutions with Node.js, React, Python, and PHP.
  • - Integrate internal systems, databases, apps, APIs, and AI tools.
  • - Contribute to AI agents, copilots, and intelligent workflows.
  • - Assess feasibility, risks, and architecture options.
  • - Apply security, authentication, logging, and data protection practices.
  • - Document prototypes and production-transition steps.
  • - Analyze current processes and design improved To-be states.
  • - Collaborate with product, business, and tech stakeholders.

Conhecimentos

AI-assisted development
AI agents & workflows
REST APIs
Node.js
React
Python
PHP
LangChain / LangGraph
Cloud / DevOps / Docker
Communication
Autonomy & delivery
Idea to production
Security & data protection
Experimentation & risk-taking

Ferramentas

n8n
Docker
LangChain

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Fullstack AI Engineer - Sênior based in Brazil.

Join a forward-looking technology environment focused on turning AI opportunities into practical, high-impact solutions. You’ll build prototypes, automations, integrations, and MVPs that combine generative AI with modern web technologies. The role sits at the intersection of engineering, product, and business, giving you direct influence over how processes are transformed through technology. You’ll work with AI agents, copilots, intelligent workflows, APIs, internal systems, and automation platforms. The position offers significant autonomy to evaluate technical feasibility, experiment with emerging tools, and move promising concepts toward production. You’ll also help shape secure, scalable architectures while translating complex technical concepts for non-technical stakeholders. This is an excellent opportunity for a senior engineer who enjoys rapid experimentation, innovation, and delivering tangible business value.

  • Develop prototypes and functional MVPs using generative AI, automation, APIs, and modern web technologies.
  • Design and implement automated workflows using n8n and API-based integrations.
  • Leverage AI-assisted development tools such as Claude, Claude Code, Lovable, OpenAI, GitHub Copilot, and similar technologies to accelerate delivery.
  • Develop and evolve solutions using multiple programming languages and technologies, including Node.js, React, Python, and PHP.
  • Integrate internal systems, databases, web applications, APIs, and AI-powered tools into cohesive solutions.
  • Contribute to the technical design of AI agents, copilots, assistants, and intelligent workflows.
  • Assess technical feasibility, effort, risks, dependencies, and architecture options for proposed solutions.
  • Apply good practices around security, authentication, logging, data protection, and responsible use of AI-generated solutions.
  • Document prototypes and technical solutions while supporting the transition of successful MVPs toward production-ready implementations.
  • Analyze existing business processes (As-is) and collaboratively design improved future-state processes (To-be) focused on measurable value and efficiency.
  • Partner closely with product, business, and technology stakeholders to identify opportunities and translate them into practical technical solutions.
Requirements
  • 5+ years of professional software development experience.
  • Hands‑on experience with AI‑assisted software development, including tools such as Claude Code, Lovable, GitHub Copilot, or similar AI/vibe-coding platforms.
  • Proven experience designing or developing AI Agents and intelligent workflows.
  • Strong ability to understand business needs, evaluate existing processes, and propose future‑state solutions that generate measurable value.
  • Practical experience with n8n for workflow automation and system integrations.
  • Demonstrated ability to rapidly develop prototypes and evolve successful concepts into functional MVPs.
  • Strong knowledge of Node.js, React, and REST API integration.
  • Practical Python experience for automation, scripting, data processing, or AI integrations.
  • Familiarity with PHP and the ability to work across multiple technology stacks.
  • Familiarity with LangChain, LangGraph, or comparable AI/agent development frameworks.
  • Understanding of cloud technologies, Docker, CI/CD, DevOps, or serverless architectures.
  • Solid knowledge of generative AI, LLMs, prompt engineering, and AI APIs.
  • Strong communication skills and the ability to collaborate effectively with product, business, and engineering teams.
  • High degree of autonomy, ownership, and delivery focus.
  • Ability to translate complex technical concepts into clear language for non‑technical stakeholders.
  • Innovative mindset with the confidence to experiment and take calculated risks.
  • Nice to have: knowledge of RAG, embeddings, and vector databases.
  • Nice to have: knowledge of LGPD, data security, and AI governance.
  • Nice to have: familiarity with BMAD methodology and agent orchestration.
  • Nice to have: experience in education or healthcare environments.
  • Nice to have: familiarity with TOTVS/RM or Protheus.
Benefits
  • Fully remote position based in Brazil.
  • Opportunity to work on innovative AI initiatives with direct business impact.
  • Exposure to generative AI, AI agents, automation, modern web development, and emerging technology platforms.
  • Opportunity to experiment with cutting‑edge AI‑assisted development tools and rapidly transform ideas into working solutions.
  • High level of autonomy and ownership over technical solutions and delivery.
  • Collaborative environment connecting engineering, product, business, and technology teams.
  • Opportunities to contribute to digital transformation initiatives across complex business processes.
  • Strong focus on innovation, continuous learning, knowledge sharing, and professional development.
  • Inclusive environment built around diversity, respect, ethics, and collaboration.
  • Opportunities to participate in technology communities, training initiatives, leadership development, and social‑impact programs.
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