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Senior AI Engineer (m/f/d)

Kuehne+Nagel

Senior AI Engineer (m/f/d)

Kuehne+Nagel

Porto, Portugal

·

On-site

·

Full-time

·

7mo ago

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.

We're expanding our global AI Product Group and seeking skilled software engineers to build a service that leverages Large Language Models (LLMs) for document data extraction and GenAI-enabled automation. As part of our cross-functional team, you'll focus on developing robust, scalable software architecture while applying your engineering expertise to create innovative AI-powered solutions.

How you create impact

  • Design and develop scalable, maintainable software components for our document processing and automation platform.
  • Build reliable APIs and services that integrate with LLMs from Anthropic, Google, and OpenAI.
  • Implement efficient services within our Kubernetes environment.
  • Collaborate with product managers and AI specialists to translate requirements into technical solutions.
  • Write clean, high-quality code with appropriate test coverage.
  • Contribute to architectural decisions and best practices for the global team.
  • Participate in code reviews and technical documentation.

What we would like you to bring

  • 5+ years of experience in software engineering with a focus on Python.
  • Proficient in software design principles and modern development best practices.
  • Hands-on experience deploying and maintaining services in cloud environments (preferably AWS).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience designing and integrating APIs, including REST and GraphQL.
  • Understanding of distributed systems and scalable architecture patterns.
  • Exposure to CI/CD workflows, infrastructure as code, and observability tools.
  • Bonus: Interest or background in data pipelines, document systems, or AI/ML technologies.

What's in it for you

You will have a direct influence on the future of logistics and IT. Your colleagues are experts who shape the IT industry in Portugal and worldwide. We want you to feel comfortable in your working surroundings. Therefore, we are offering you flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne+Nagel offers you a custom-made career – through individual planning and supervisors who support and advise you in every way. You get supported by many work-life balance offerings and supplementary health insurance.

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.

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About Kuehne+Nagel

Kuehne+Nagel

Kuehne + Nagel International AG is a global transport and logistics company based in Schindellegi, Switzerland. Its main owner and operator is Klaus-Michael Kühne via his Kühne Holding and Kühne Foundation. The company was founded in 1890 in Bremen, Germany.

10,001+

Employees

Schindellegi

Headquarters

Reviews

3.1

5 reviews

Work Life Balance

2.0

Compensation

3.5

Culture

2.5

Career

2.0

Management

2.0

Pros

Competitive salary and benefits

Good workplace community

Employee engagement activities

Cons

Poor management and leadership

Mandatory overtime affecting work-life balance

Disorganized operations

Salary Ranges

0 data points

Junior/L3

L3

Intern

Junior/L3 · Data Scientist

0 reports

$68,453

total / year

Base

-

Stock

-

Bonus

-

$58,185

$78,721

Interview Experience

44 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

38%

Experience

Positive 69%

Neutral 20%

Negative 11%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving