Senior Multi-Agent AI Systems Engineer

Merkle

Lisboa

Híbrido

EUR 70 000 - 100 000

Tempo integral

Há 3 dias
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Vantagens oferecidas por esta oferta de emprego

Health insurance
Hybrid working
Mental health days
Volunteer days
Training programs
Employee discounts
Team events

Resumo da oferta

Merkle, part of the dentsu network, seeks a Senior Full-Stack Engineer in Lisbon to design and deploy multi-agent AI systems at scale. You’ll work across cloud infra, backend services, and AI frameworks—using Claude and modern tools to accelerate development.

You’ll contribute to a hybrid team, combining remote collaboration with in-office sessions, and help clients define agent use cases while delivering robust, scalable solutions.

Qualificações

  • Strong backend development in Node.js/TypeScript.
  • Frontend experience with React/Next.js.
  • Hands-on AWS deployment and scaling.
  • Daily use of Claude, Cursor or similar AI tools.
  • Experience with LangChain and LangSmith.
  • Knowledge of multi-agent systems (LangGraph, AutoGen, CrewAI).
  • Shipping mentality: move concepts to production quickly.

Responsabilidades

  • Build multi-agent AI systems for enterprise-scale workflows.
  • Develop production backends and user-facing frontends.
  • Deploy and operate services on AWS with reliability.
  • Monitor performance, latency, and token efficiency.
  • Collaborate with clients to refine architectures.

Conhecimentos

Full-stack development
Node.js/TypeScript
Frontend (React/Next.js)
Cloud deployment
AI tooling
Agent architecture
Shipping mentality

Ferramentas

Node.js
TypeScript
React
Next.js
AWS
Claude
Cursor
LangChain
LangSmith
LangGraph
AutoGen
CrewAI
Python

Descrição da oferta de emprego

Merkle, part of the dentsu network, seeks a Senior Full-Stack Engineer in Lisbon to design and deploy multi-agent AI systems at scale. You’ll work across cloud infra, backend services, and AI frameworks—using Claude and modern tools to accelerate development.

You’ll contribute to a hybrid team, combining remote collaboration with in-office sessions, and help clients define agent use cases while delivering robust, scalable solutions.

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