GenAI Engineer (Full-Stack AI Systems)
Salário Estimado
R$ 5.940,00 - R$ 8.910,00
Descrição da Vaga
the Role We are looking for a GenAI Engineer with a strong full-stack engineering background who has transitioned into building AI-powered applications and agentic systems over the past few years.
The ideal candidate is someone who understands how to integrate AI deeply into enterprise-grade systems, combining expertise in backend architecture, APIs, cloud infrastructure, and modern generative AI frameworks.
This role focuses on building production-ready AI systems, not just experimentation.
You will work across the entire stack to design, develop, and deploy AI-driven solutions that solve real business problems and improve operational efficiency.
Key Responsibilities Design and Deploy AI Systems • Design, develop, and deploy AI-powered applications using LLMs and modern GenAI frameworks.
Full-Stack AI Integration • Integrate AI models into enterprise applications across the full technology stack.
Enterprise System Architecture • Architect and maintain production-ready AI infrastructure on cloud platforms.
Research and Innovation • Stay up-to-date with the latest advancements in Generative AI, LLMs, and agentic architectures.
Collaboration and Stakeholder Engagement • Work closely with product managers, engineers, and business stakeholders to define requirements.
Requisitos
- We are looking for a GenAI Engineer with a strong full-stack engineering background who has transitioned into building AI-powered applications and agentic systems over the past few years
- The ideal candidate is someone who understands how to integrate AI deeply into enterprise-grade systems, combining expertise in backend architecture, APIs, cloud infrastructure, and modern generative AI frameworks
- Enterprise System Architecture
Responsabilidades
- This role focuses on building production-ready AI systems, not just experimentation
- You will work across the entire stack to design, develop, and deploy AI-driven solutions that solve real business problems and improve operational efficiency
- Key Responsibilities Design and Deploy AI Systems
- Design, develop, and deploy AI-powered applications using LLMs and modern GenAI frameworks
- Build and maintain scalable AI services, APIs, and backend systems
- Implement agentic workflows, retrieval-augmented generation (RAG), and AI orchestration pipelines
- Full-Stack AI Integration
- Integrate AI models into enterprise applications across the full technology stack
- Develop backend services, APIs, and data pipelines that support AI-powered features
- Work with frontend teams to enable AI-driven user experiences
- Architect and maintain production-ready AI infrastructure on cloud platforms
- Ensure scalability, security, and reliability of AI services
- Optimize system performance and AI model usage
- Stay up-to-date with the latest advancements in Generative AI, LLMs, and agentic architectures
- Evaluate and implement new tools, frameworks, and architectures to improve AI capabilities
- Collaboration and Stakeholder Engagement
- Work closely with product managers, engineers, and business stakeholders to define requirements
- Translate business challenges into scalable AI-driven solutions
- Communicate technical concepts clearly to both technical and non-technical audiences
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Informações
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