Senior AI Solution Engineer

Softlanding; Porto; Híbrido; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Softlanding, a leading European mobility services provider, is launching a Tech Hub in Porto to drive AI-powered mobility solutions. You will collaborate with engineering, data science and platform teams to deliver scalable AI outcomes that align with business goals.

Join to work with LLMs, RAG techniques, Azure services, and modern microservices while mentoring teams and delivering practical, Docker-like workflows in an Agile environment.

Qualificações

• Practical experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
• Working knowledge of Agentic AI systems.
• Experience with core machine learning concepts and implementations.
• Experience with Azure cloud platforms and AI services.
• Hands-on DevOps skills.
• Experience developing microservices using Flask, Django, or Spring (Java) frameworks.
• Practical Experience with GitHub Copilot and other AI tools for developers.
• Strong English (international working environment).

Responsabilidades

• Led development and deployment of Agentic AI solutions, ensuring scalable, high- quality outcomes aligned with business goals.
• Built and scaled enterprise AI platform infrastructure, defining best practices and technical direction.
• Integrated AI platforms with internal systems to support diverse business use cases.
• Created AI prototypes and demos to drive adoption and showcase capabilities.
• Provided technical leadership, mentoring teams and supporting cross-functional AI initiatives.
• Experience translating business problems into AI use cases and technical solutions.
• Ability to work in Agile delivery teams and iterative development cycles.
• Strong collaboration skills across engineering, data science, and platform teams.
• Capability to support solution documentation and technical handover.
• Problem‑solving mindset focused on delivering practical, scalable outcomes.

Conhecimentos

LLMs

RAG techniques

Agentic AI

Machine learning basics

Azure AI services

DevOps

Microservices

Flask

Django

Spring (Java)

GitHub Copilot

English

Ferramentas

Flask

Django

Spring (Java)

GitHub Copilot

Descrição da oferta de emprego

You’ll have the opportunity to collaborate with a leading European mobility services provider, headquartered in Germany and backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Porto, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.

YOUR ROLE

• Led development and deployment of Agentic AI solutions, ensuring scalable, high- quality outcomes aligned with business goals.
• Built and scaled enterprise AI platform infrastructure, defining best practices and technical direction.
• Integrated AI platforms with internal systems to support diverse business use cases.
• Created AI prototypes and demos to drive adoption and showcase capabilities.
• Provided technical leadership, mentoring teams and supporting cross-functional AI initiatives.
• Experience translating business problems into AI use cases and technical solutions.
• Ability to work in Agile delivery teams and iterative development cycles.
• Strong collaboration skills across engineering, data science, and platform teams.
• Capability to support solution documentation and technical handover.
• Problem‑solving mindset focused on delivering practical, scalable outcomes.

YOUR PROFILE

• Practical experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
• Working knowledge of Agentic AI systems.
• Experience with core machine learning concepts and implementations.
• Experience with Azure cloud platforms and AI services.
• Hands‑on DevOps skills.
• Experience developing microservices using Flask, Django, or Spring (Java) frameworks.
• Practical Experience with GitHub Copilot and other AI tools for developers.
• Strong English (international working environment).