AI Engineer

Role: AI Engineer

Location: Helsinki / Tampere

Reporting to: Manager, Platform Automation

Job role and purpose:

The AI Engineer will be responsible for designing, developing, and deploying AI solutions on cloud platforms. This role involves collaborating with cross-functional teams to integrate AI capabilities into existing systems, creating scalable, efficient, and secure AI infrastructure.

The role involves developing, programming, and training complex AI algorithms to function like a human brain. AI Engineers must be experts in software development, data science, data engineering and programming. They uncover and pull data from a variety of sources; create, develop and test machine learning models; and build and implement AI applications using embedded code or application program interface (API) calls. This role requires occasional travel based on business needs.

Main responsibilities & tasks:

AI engineers play a crucial role in developing and implementing AI based solutions. The responsibilities of this role have evolved to meet the demands of modern generative AI applications and fall under multiple categories. Here are the key facets of the job of AI Engineer, followed by responsibilities.

Key areas of responsibility include:

• Designing and implementing solutions on cloud platforms (Azure, AWS) using LLMs

• Collaborate with cross-functional teams to design and implement AI solutions

• Explore cutting-edge technologies for optimal design and implementation of solutions.

• Creating best practices for implementing AI solutions on cloud platforms

• Implementing data transformation and data ingestion infrastructure

• Building, maintaining and optimizing AI models

• Confirm that Security is high enough level on AI related systems

Other accountabilities & tasks:

• Mentor/ help team members in field of AI
  

Qualifications and experience:

• Bachelor's degree in a field related to AI, such as data science, computer science, IT or statistics. Master’s degree -- though not always required -- in such disciplines as data science, mathematics, cognitive science or computer science.

• At least 3 years in field of IT automation, RPA, AI, or relevant areas.

• Extensive knowledge of statistics, calculus or algebra to work with algorithms and an understanding of probability to interact with some of AI's most common machine learning models, including Naive Bayes, hidden Markov and Gaussian mixture models.

• Proficiency with programming languages such as Python and Java to develop and deploy AI models.

• Solid understanding of algorithms and applied mathematics to build, modify and use AI models.

• Good knowledge of NLP, which combines computer science, information engineering, linguistics and AI in one system, plus the ability to program the system to process and analyze large data sets.

• Familiarity with generative AI frameworks and architectures, such as transformers and generative adversarial networks (GANs).

• Experience with LLMs and their applications.

• Knowledge of prompt engineering and fine-tuning techniques for generative AI models.

• Understanding of potential biases and ethical considerations in AI systems.

• Proficiency in working with cloud-based AI platforms and services (Azure and AWS).

• Experience deploying secure solutions to cloud using Terraform.

• Knowledge of GenAI and Machine Learning Cloud services (Azure ML, SageMaker).

• Communication and teamwork skills are highly valued as well as ability to work independently and sometimes even under some time pressure.

• Positive attitude and desire to help others are also valued.

• Strong communication skills English. Finnish language fluency considered as a plus.
  

Please note that the person selected for this role needs to pass the Finnish security clearance (perusmuotoinen turvallisuusselvitys).

Why should you join us

We want you to able to Be Your Best in your job – and we will support you in this. We’re a community that supports each other and works together to get things done. Collaboration is at the heart of how we operate: people and leaders are easy to approach and engaged, and fresh ideas are always welcomed.

Our culture is friendly, forward-thinking, and focused on helping you grow. Here, you’ll have room to develop, contribute to something bigger, and feel recognized for the impact you make every day.

And what’s in it for you?

• Recognition & Rewards – Bonus programs and excellence awards.

• Continuous Learning – Development programs, coaching, and workshops.

• Wellbeing Focus – Flexible culture, health initiatives, and work-life balance.

• Purpose-Driven Work – Opportunities to contribute to sustainability and community projects.

• Fun & Connection – Team challenges, sports activities, and annual events.

Contact details: For further questions, please contact our Talent Acquisition Partner, Sanober Masalawala by email at [email protected]. Please note we do not accept applications received via email.

Closing date: Please submit your application in English by 9th August 2026, on our career page. We look forward to hearing from you! Please note that we are unable to provide sponsorship for this role. We look forward to hearing from you!