Production AI Engineer — Multi-Agent Systems

Aghanim

Lisboa

On-site

EUR 60,000 - 80,000

Full time

14 days+
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Benefits offered by this job

Equity
High growth, high impact environment
Modern tools and technology

Job summary

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.

Qualifications

  • 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).

Responsibilities

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

Skills

Python backend development
Production multi-agent LLM systems
Agent orchestration
Multimodal AI applications
Vector databases

Tools

LangGraph
LangChain
AutoGen

Job description

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.

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