AI Engineer: Production AI & Multi-Agent Systems (Hybrid)

JobCloud AG; Porto; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Sick leave 10 days

Vacation 25 days

Private health coverage

Gym allowance

Hybrid & flexible work

Learning & Development

Workation

Resumo da oferta

JobCloud Porto seeks a hands-on AI software engineer to design and operate production AI applications that connect language models with enterprise data, APIs, and business workflows.

You will develop conversational experiences using tool calling and structured outputs, while orchestrating deterministic workflows and data synchronization across systems. Collaboration with security and platform teams ensures compliant, scalable deployments.

Qualificações

• Strong Python and production software-engineering skills.
• Experience delivering LLM-powered or data-intensive applications.
• Experience integrating heterogeneous enterprise data sources.
• Practical experience with tool calling, structured outputs, and evaluation of nondeterministic systems.
• Understanding of authentication, authorization, privacy, and secure data handling.

Responsabilidades

• Design, build, and operate production AI applications connecting language models with enterprise data, APIs, and business workflows.
• Develop conversational AI experiences with tool calling, orchestration, and deterministic workflows.
• Integrate data from APIs, databases, and event-driven systems while ensuring security and freshness.
• Establish automated evaluation, testing, monitoring, and safe fallback mechanisms.

Conhecimentos

Python & backend

LLM-powered apps

Data integration

Tool calling & structured outputs

Security & privacy

Architectural judgment

Ferramentas

Docker

Kubernetes

Descrição da oferta de emprego

JobCloud Porto seeks a hands-on AI software engineer to design and operate production AI applications that connect language models with enterprise data, APIs, and business workflows.

You will develop conversational experiences using tool calling and structured outputs, while orchestrating deterministic workflows and data synchronization across systems. Collaboration with security and platform teams ensures compliant, scalable deployments.