Production AI Engineer — Multi-Agent Systems

Aghanim; Lisboa; Presencial; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

High growth, high impact environment

Modern tools and technology

Resumo da oferta

Aghanim is seeking an AI Engineer in Lisbon to design and build production-grade multi-agent systems that solve real business problems. The role focuses on engineering reliable AI systems, requiring strong systems thinking and the ability to translate complex problems into robust AI architectures.

Key responsibilities include implementing multi-agent systems and building multimodal AI workflows. Candidates should have commercial experience with Python and LLM systems.

Join a world-class team that values autonomy, ownership, and a trust-based work environment.

Qualificações

• Strong Python backend development experience, including asynchronous services and API integrations.
• Commercial experience building production multi-agent LLM systems.
• Experience with modern agent frameworks (e.g., LangGraph, LangChain, AutoGen).

Responsabilidades

• Design and implement production-grade multi-agent systems.
• Build multimodal AI workflows and integrate multiple model providers.
• Implement testing, evaluation, observability, and reliability practices.

Conhecimentos

Python backend development

Production multi-agent LLM systems

Agent orchestration

Multimodal AI applications

Vector databases

Ferramentas

LangGraph

LangChain

AutoGen

Descrição da oferta de emprego

Aghanim is seeking an AI Engineer in Lisbon to design and build production-grade multi-agent systems that solve real business problems. The role focuses on engineering reliable AI systems, requiring strong systems thinking and the ability to translate complex problems into robust AI architectures.

Key responsibilities include implementing multi-agent systems and building multimodal AI workflows. Candidates should have commercial experience with Python and LLM systems.

Join a world-class team that values autonomy, ownership, and a trust-based work environment.