Customer-Driven Software Engineer (End-to-End AI)

Jobless

Lisboa

Híbrido

EUR 70 000 - 110 000

Tempo integral

Há 8 dias

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Vantagens oferecidas por esta oferta de emprego

Flexible working model

Resumo da oferta

KI performance in Lisbon is hiring a Forward Deployed Software Engineer to work directly with customers and shape end-to-end AI-enabled software delivery. You will design, implement, and deploy production-ready systems across frontend, backend, APIs, and cloud components.

You will own quality, collaborate with AI engineers, data engineers, cloud architects, and customers, and contribute to enterprise-scale integrations and security considerations.

Qualificações

  • Proficient in at least one modern backend language; Python or .NET/C# preferred.
  • Experience building production APIs, backend services, and integrations.
  • Frontend experience with React/TypeScript or willingness to work across the stack.
  • Strong understanding of architecture, clean code, testing, and patterns.
  • Familiarity with authentication, error handling, logging, and monitoring.

Responsabilidades

  • Build end-to-end software across frontend, backend, APIs, integrations, and cloud components.
  • Collaborate with customers, engineers, and product teams to deliver production-ready solutions.
  • Own quality through architecture, tests, documentation, and code reviews.
  • Deliver in customer environments and drive adoption in enterprise contexts.

Conhecimentos

Full-Stack Engineer
Backend Engineer
Platform Engineer
Cloud Engineer
Solution Engineer
Software Architect

Ferramentas

Python
.NET/C#
React
TypeScript
Git
CI/CD
GitHub
Azure DevOps
GitLab
Docker
Kubernetes
Terraform
Azure Container Apps
App Service
Functions
Databricks

Descrição da oferta de emprego

KI performance in Lisbon is hiring a Forward Deployed Software Engineer to work directly with customers and shape end-to-end AI-enabled software delivery. You will design, implement, and deploy production-ready systems across frontend, backend, APIs, and cloud components.

You will own quality, collaborate with AI engineers, data engineers, cloud architects, and customers, and contribute to enterprise-scale integrations and security considerations.

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