Trainee, AI & PLM Development

Role Overview

We are looking for an enthusiastic Trainee with a strong interest in Artificial Intelligence to join our this role you will work alongside experienced engineers and domain experts to design prototype and deploy AI-driven solutions that solve real business problems. This is an excellent opportunity to build hands-on experience with Generative AI LLMs and modern automation tools in an enterprise environment.

Key Responsibilities

• Assist in developing testing and deploying AI/ML and Generative AI solutions to automate and enhance business processes.
• Build and iterate on prompts AI agents and copilots using tools like Claude GPT LangChain or the Claude Agent SDK.
• Support data collection cleaning labelling and analysis to feed AI models and evaluations.
• Prototype RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
• Contribute to workflow automation by integrating AI with existing enterprise systems (APIs databases document repositories).
• Document experiments benchmarks and learnings; share knowledge with the team.
• Stay current with the fast-evolving AI landscape and propose relevant new ideas.
  Awareness of ISO 14001 and 45001 standards.

Qualifications :

What should you bring                   

• Bachelors or Masters degree (or final-year student) in Computer Science Data Science AI Software Engineering or a related field.
• Solid programming skills in Python (mandatory).
• Working understanding of AI/ML fundamentals: LLMs prompt engineering embeddings fine-tuning basics evaluation methods.
• Experience calling LLM APIs (Claude OpenAI or similar) in personal projects or coursework.
• Familiarity with Git VS Code REST APIs JSON and modern developer workflows.
• Strong analytical thinking curiosity and eagerness to learn.

Soft Skills

• Clear written and spoken English communication.
• Team-oriented proactive and able to work independently on ambiguous problems.
• Ability to translate business needs into concrete technical experiments.
• Growth mindset and comfort with rapid iteration.

What You Will Learn

• Practical production-grade application of Generative AI in an enterprise setting.
• End-to-end AI project lifecycle - from idea to prototype to deployment.
• Working with cross-functional teams (engineering business domain experts).
• Enterprise-grade software practices: version control code review secure coding DevOps.
• Responsible AI: safety evaluations and human-in-the-loop design.

Additional Information :

Why join Konecranes  

At Konecranes you will get to develop your professional skills and apply your academic knowledge in practise. As a Trainee in PLM Development you will gain meaningful work experience in versatile PLM development training and testing tasks and develop your skills in for example working in international team and understand connection between business needs and feature development.  

We offer our employees

• Insight to world class IT Service Delivery.
• Competitive Salary.
• Work-Life balance.
• Innovative and dynamic working environment.
• Support of an excellent IT Service Delivery Team.
• Possibility to work in leading crane building company with leading technology.

Interested

If this role sparked your interest please submit your application as soonest on our career site. Please note that position will be filled when we find a suitable person. We will contact you after the application period at latest

Konecranes moves what matters. We are a global leader in material handling solutions serving a broad range of customers across multiple industries. We consistently set the industry benchmark from everyday improvements to the breakthroughs at moments that matter most because we know we can always find a safer more productive and sustainable way. Thats why with 16 000 professionals in over 50 countries we are trusted every day to lift handle and move what the world needs.

Konecranes is committed to ensuring that all employees and job applicants are treated fairly in an environment which is free from any form of discrimination.

Remote Work :

No

Employment Type :

Full-time