Lisbon-Based Full-Stack AI Engineer — Build AI Agents

Menhir

Lisboa

Híbrido

Confidencial

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Competitive salary
Lisbon-based HQ
Collaborative team across Europe

Resumo da oferta

Menhir is seeking a generalist full stack engineer for our Lisbon headquarters to work on an AI-powered revenue recovery platform for healthcare clinics across Europe and the Americas. You will own the stack end-to-end, from AI agent orchestration to product interfaces used by clinics and patients.

You will join as the first engineer in Lisbon, shaping the product with the team, and driving decisions that scale from hundreds of clinics to tens of thousands across markets.

Qualificações

  • Generalist capable across the full stack, from AI orchestration to UI.
  • Proven ability to ship features with real impact.
  • Hands-on experience with large language models beyond prompts.
  • Proficient in Python and TypeScript.
  • Fluent English; Portuguese or Spanish a plus.

Responsabilidades

  • Be the first Lisbon-based engineer, shaping the product end-to-end.
  • Develop across AI agent orchestration, product dashboards, and integrations.
  • Own decisions on scalability as clinics and markets grow.
  • Collaborate with cross‑functional teams across Europe and the Americas.

Conhecimentos

Full stack development
LLMs experience
Python
TypeScript
API design
Database querying
DevOps basics
English
Portuguese/Spanish nice-to-have

Ferramentas

Twilio
WhatsApp Business API
Docker

Descrição da oferta de emprego

Menhir is seeking a generalist full stack engineer for our Lisbon headquarters to work on an AI-powered revenue recovery platform for healthcare clinics across Europe and the Americas. You will own the stack end-to-end, from AI agent orchestration to product interfaces used by clinics and patients.

You will join as the first engineer in Lisbon, shaping the product with the team, and driving decisions that scale from hundreds of clinics to tens of thousands across markets.

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