AI-Native Product Engineer — End-to-End Impact

Loop Os; Coimbra; Híbrido; EUR 45 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

26 days of holidays per year

Coverflex budget per month

Resumo da oferta

LoopOS is seeking an AI-Native Product Engineer to join a small, high-trust team in Coimbra. You own a product area in LoopOS Flux end-to-end—from understanding client needs to shipping and improving the solution in production.

You combine business analysis, product ownership and hands-on engineering, using AI-native workflows to move faster, while collaborating with CTO, QA, UX/UI Engineering and the Product Owner.

Qualificações

• Track record of shipping product features in real environments.
• Able to work across backend and frontend with confidence.
• Evidence of what you have built matters more than years of experience — mid, senior and exceptional AI-native juniors are welcome.
• Fluent English; clear communicator with clients and teammates.
• Product-minded: you care about solving the right problem, not just building what was asked.
• Autonomous and accountable: you own outcomes, and know when to ask for help.
• Pragmatic: you know when to move fast and when to invest in foundations.
• AI-enabled: agentic tools are already how you work.

Responsabilidades

• Own a product area in LoopOS Flux from problem to production.
• Work directly with clients and turn business problems into product decisions.
• Design the approach before writing code; prototype quickly when it helps.
• Use AI-native workflows to accelerate delivery without losing engineering judgement.
• Collaborate with Product Engineers, the CTO, QA, UX/UI Engineering and the Product Owner.

Conhecimentos

Full-stack

Product ownership

Client communication

Autonomy

AI-native workflows

Ferramentas

Rails

API design

React

Descrição da oferta de emprego

LoopOS is seeking an AI-Native Product Engineer to join a small, high-trust team in Coimbra. You own a product area in LoopOS Flux end-to-end—from understanding client needs to shipping and improving the solution in production.

You combine business analysis, product ownership and hands-on engineering, using AI-native workflows to move faster, while collaborating with CTO, QA, UX/UI Engineering and the Product Owner.