AI Full Stack Engineer

pleez; Lisboa; Híbrido; EUR 45 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private health insurance

Career growth opportunities

Culture where ideas matter

Resumo da oferta

A dynamic technology company is seeking an AI Full Stack Engineer to join their team in Lisbon. The role focuses on building intelligent automation and leveraging LLM technology to impact the restaurant industry. Candidates should have 1-3 years in full stack development, specifically with Node.js and Vue.js. The position offers a hybrid work model, private health insurance, and growth opportunities within a young, driven team.

Qualificações

• 1-3 years of full stack development experience, preferably with personal projects.
• Experience with Node.js/TypeScript for backend and Vue.js for frontend.
• Familiarity with relational databases like MySQL and PostgreSQL.
• Experience deploying LLMs such as OpenAI API into functional applications.
• Knowledge on safety and validation strategies for LLM applications.

Responsabilidades

• Build and ship new features from zero to one.
• Create measurable sales impact for restaurants.
• Integrate LLMs into applications ensuring structured outputs.

Conhecimentos

Full stack development

Node.js

TypeScript

Vue.js

Relational databases

Non-relational databases

LLM deployment

Descrição da oferta de emprego

Job Overview

AI Full Stack Engineer at pleez is a product builder and problem solver role focused on building an intelligent automation and conversational platform leveraging the latest LLM technology.

Responsibilities

Build and ship new features from zero to one, create measurable sales impact for restaurants, integrate LLMs, ensure structured outputs, guardrails, and safety handling.

Qualifications

• 1-3 years of full stack development experience (personal projects show drive).
• Experience with Node.js/TypeScript backend and Vue.js frontend.
• Data foundation – relational (MySQL, PostgreSQL) and non-relational databases.
• Deploying and integrating LLMs (OpenAI API, MCP, custom prompt engineering) into functional applications.
• Structured output, guardrail strategies, validation, fallback, safety and abuse handling for LLM driven applications.
• Compelling personal project or open-source contribution that shows drive to ship.

Benefits

• Impactful intersection of AI + restaurants.
• Young, international, driven team.
• Hybrid model with offices in Lisbon and Madrid.
• Private health insurance.
• Career growth opportunities.
• Culture where ideas matter and hustle is rewarded.

About Us

We help restaurants aggregate and use delivery data to improve management on delivery platforms, providing competitor data, machine learning‑backed recommendations, AI‑powered features like menu picture and dish description creation. Restaurants have their delivery channels on auto‑pilot with pleez, now they just need to focus on cooking.