AI Engineer (m/f/d)

Kuehne Nagel

Porto

Remote

EUR 60,000 - 110,000

Full time

30 hours ago
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Benefits offered by this job

Flexible working hours
Remote work option
Career development
Health insurance
Employee Assistant Program

Job summary

Kuehne+Nagel in Porto, Portugal is seeking an AI Engineer to lead initiatives applying LLMs and GenAI-driven automation across our global logistics platforms. You will design, develop, and scale software that powers teams delivering value worldwide.

You will collaborate across product, data, and IT, write robust code, build APIs, and participate in architecture decisions while upholding engineering best practices. This role offers flexible hours and remote work with a diverse global team.

Qualifications

  • 4+ years of software engineering with strong Python skills.
  • Solid software design principles and modern practices.
  • Experience building and maintaining cloud applications (AWS preferred).
  • Hands-on containerization/orchestration (Docker/Kubernetes).
  • Strong API design and integration (REST/GraphQL).
  • Knowledge of distributed systems and data-intensive architectures; AI/ML interest a plus.
  • Familiar with CI/CD, IaC, monitoring tools.
  • Strong written and verbal English communication.

Responsibilities

  • Design and develop scalable software solutions.
  • Build and maintain APIs/services integrating with LLMs.
  • Collaborate with analysts, product owners, stakeholders, and AI specialists.
  • Write clean, reliable code with testing to ensure quality.
  • Contribute to architecture decisions and engineering standards.
  • Participate in code reviews, knowledge sharing, and documentation.

Skills

Python
Cloud computing
REST APIs
GraphQL
English communication

Tools

Docker
Kubernetes
CI/CD

Job description

It's more than a job

In this IT role, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel’s global systems and operations. This contribution is vital to making both special and ordinary moments in the lives of people a reality. In fact, your work enables our teams to deliver fresh fruit, time-sensitive healthcare products and much more to people all around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine.

As an AI Engineer (m/f/d), you will lead technical initiatives, contribute to solution design, and assess technical and functional risks and opportunities. You will help build features that use Large Language Models (LLMs) for data extraction across multiple sources and GenAI-driven automation. Working closely with your product domain, you will develop robust and scalable software while applying your engineering expertise to create innovative AI-powered solutions. You will collaborate with both technical teams and business stakeholders, helping bridge gaps, improve communication, and enhance the overall application landscape.

How you create impact
  • Design and develop scalable, maintainable software solutions.
  • Build and maintain APIs and services that integrate with LLMs from providers such as Anthropic, Google, and OpenAI.
  • Work closely with analysts, product owners, stakeholders, and AI specialists to turn business requirements into effective technical solutions.
  • Write clean, reliable code with appropriate testing to ensure quality and performance.
  • Contribute to architecture decisions, engineering standards, and best practices across the global team.
  • Participate in code reviews, knowledge sharing, and technical documentation.
What we would like you to bring
  • 4+ years of software engineering experience, with strong Python development skills.
  • Solid understanding of software design principles and modern engineering best practices.
  • Experience building, deploying, and maintaining applications in cloud environments, preferably AWS.
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong API design and integration skills, including REST and GraphQL.
  • Knowledge of distributed systems, scalable software architectures, and data-intensive systems; experience or interest in data pipelines, document processing, or AI/ML technologies is a plus.
  • Familiarity with CI/CD pipelines, infrastructure as code, and monitoring/observability tools.
  • Strong written and verbal English communication skills.
What's in it for you

Your work has a direct impact on the future of logistics and IT. Your team is made up of experts who are shaping the IT industry in Portugal and around the world. We want you to feel comfortable in our working environment, where you will be dealing with different cultures.

  • That is why we offer flexible working hours and the opportunity to work remotely.
  • We value teamwork, continuous learning and diversity.
  • Kuehne+Nagel offers you a tailor-made career with individual planning and team leaders who will support you in every way.
  • On a personal level, we support you with a wide range of work-life balance options, supplementary health insurance and our EAP - Employee Assistant Program.
Who we are

Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.

As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life‑saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine.

Kuehne + Nagel is an equal employment/affirmative action employer. If you require an accommodation for any part of the online application process due to a disability, please contact the Employee Services HR Help Desk at 1-800-267-1326 during the hours of 8:00am - 5:00pm EST; Monday through Friday or via e-mail at: HR.helpdesk@kuehne-nagel.com with the nature of your request. We will answer your inquiry within 24 hours.

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