GenAI Full-Stack Engineer - Python, React, Azure | Hybrid

EnBW IT-Solutions

Lisboa

Híbrido

EUR 70 000 - 95 000

Tempo integral

14 dias+

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Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Private health insurance
Meal allowance
Additional paid days off
Hybrid work model
International collaboration
Career development
Modern offices in Lisbon

Resumo da oferta

EnBW IT-Solutions is expanding its Agentic Factory team in Lisbon to build the central AI platform and GenAI use cases across the organization. The role focuses on backend services, frontend interfaces, and end-to-end delivery of GenAI solutions in a hybrid, international environment.

The ideal candidate has strong Python and frontend experience, GenAI tooling, and cloud-native know-how, with a collaborative mindset for scalable enterprise platforms.

Qualificações

  • Proficient in Python (backend) and modern JS/TS frameworks.
  • Experience with GenAI tech: LLMs, RAG, agent logic.
  • Comfort with containerized deployments and cloud-native apps.
  • Experience building/consuming RESTful APIs and microservices.

Responsabilidades

  • Develop backend services for GenAI apps, including orchestration and integration.
  • Create polished frontend interfaces for business users.
  • Deliver GenAI use cases from prototype to production.
  • Design reusable templates, components and patterns for reuse.
  • Integrate enterprise data sources and third-party services.

Conhecimentos

Python backend
JavaScript/TypeScript frontend
GenAI technologies
Docker/Kubernetes
Azure cloud
RESTful APIs
CI/CD
Vector databases
Azure DevOps / GitHub Actions
Cross-functional teamwork

Ferramentas

Docker
Kubernetes
Azure DevOps
GitHub Actions

Descrição da oferta de emprego

EnBW IT-Solutions is expanding its Agentic Factory team in Lisbon to build the central AI platform and GenAI use cases across the organization. The role focuses on backend services, frontend interfaces, and end-to-end delivery of GenAI solutions in a hybrid, international environment.

The ideal candidate has strong Python and frontend experience, GenAI tooling, and cloud-native know-how, with a collaborative mindset for scalable enterprise platforms.

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