Software Engineer Generative AI Google Cloud – Lisbon Hybrid Role

📍 Location: eu

🏷 Type: Not specified

Job Intelligence

📍 More in this location:
Browse AI jobs in eu

🏷 Similar roles:

🌐 Explore all jobs:
View all AI job listings

Job Overview

This role targets a Mid-Level Software Engineer (3+ years) specializing in Generative AI systems and Google Cloud Platform. At Syffer, you will design and deploy scalable AI-powered applications using Python, TypeScript, and modern frontend frameworks. The ideal candidate combines full-stack engineering expertise with hands-on exposure to AI integrations and cloud-native architectures, contributing to high-impact consulting projects across global clients.

🌍 Work Eligibility & Location

This is a Hybrid opportunity based in Lisbon with flexibility for remote work whenever possible. While global applicants may find the role attractive, lack of explicit visa sponsorship suggests preference for candidates already authorized to work within the EU or Portugal.

💰 Salary Intelligence

For Lisbon, this estimated range is competitive for a Mid-Level AI-focused engineering role. The inclusion of health insurance, flexible remote options, and exposure to enterprise-scale projects adds strong total compensation value beyond base salary.

📊 Role Breakdown

This position blends backend engineering (40%), frontend development (30%), and cloud/AI integration (30%). You will primarily design and deploy microservices using Python and integrate them with Generative AI models. On the frontend, you will build interactive interfaces using TypeScript and frameworks like React, ensuring seamless AI-driven user experiences.

A significant portion of the role involves working with Google Cloud services such as Cloud Run and Pub/Sub, enabling event-driven architectures and scalable deployments. You will also prototype AI-powered applications, including web and voice-based solutions, while maintaining system reliability.

Collaboration is critical, requiring frequent interaction with product managers, AI engineers, and cross-functional teams. Additionally, you will contribute to technical leadership, guiding best practices in API design, microservices architecture, and modern development workflows.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This role sits at a moderate to high difficulty level due to the intersection of cloud infrastructure, full-stack engineering, and AI integration. Candidates with only frontend or backend specialization may struggle, while those with cross-functional experience in distributed systems and AI workflows will stand out significantly.

🚀 Career Impact

This role offers strong career acceleration by combining Generative AI with cloud-native engineering. The exposure to real-world enterprise projects enhances portfolio depth and positions candidates for high-demand roles such as AI Engineer or Cloud Architect in global markets.

📋 Key Responsibilities

You will architect and deploy scalable microservices using Python and integrate them with Generative AI models. A key responsibility includes building responsive user interfaces with TypeScript and React, ensuring seamless AI-driven experiences.

Additionally, you will leverage Google Cloud services like Cloud Run and Pub/Sub to create event-driven systems. You are expected to prototype innovative solutions, including web and voice integrations, while maintaining high reliability.

The role also requires mentoring team members, reviewing code quality, and collaborating with cross-functional teams to translate complex requirements into scalable systems.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

Hiring demand for Generative AI engineers remains extremely high, but competition is increasing as more developers upskill in AI. This role has moderate urgency, typical of consulting hires tied to active client projects. Early applicants with proven cloud + AI integration experience will have a strong advantage in the selection pipeline.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This job listing is based on a direct company posting from Syffer, ensuring high source credibility. Role details, responsibilities, and requirements have been carefully structured and verified for clarity. Last updated: April 2026. Candidates are encouraged to apply promptly as availability may change based on hiring progress.