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We’re looking for an AI Engineer to join our Applied AI team. In this role, you’ll contribute to designing and implementing AI solutions, from AI agents and large language models (LLMs) to more traditional machine learning approaches. You’ll work alongside experienced engineers, applying your software engineering and cloud skills to help deliver scalable and business-relevant AI applications. This is a great opportunity to develop your expertise, work with modern technologies, and collaborate with a team of experts across data, AI, and cloud.
🧩 In This Role You Will
- Support the design and implementation of end-to-end AI/ML solutions, spanning agents, RAGs, and other machine learning systems
- Contribute to the development and scaling of cloud-native applications
- Assist with MLOps tasks to deploy, monitor, and maintain ML systems in production
- Help design solutions in a structured and systematic way, balancing technical and business perspectives
- Support integration with different types of APIs (REST, event-driven, custom)
- People-first culture: A workplace where you can be yourself. Our culture is built on openness, equality, and mutual respect.
- Flexible working model: Our hybrid model offers the best of both worlds, flexibility in your daily life and in-person collaboration when it moves things forward
- Well-being benefits: Smartum benefits for culture, sports, and optional regular massages to help you recharge
- Fair compensation: A competitive salary that reflects your skills and experience
- Grow with us: We encourage continuous learning and development in a direction that matters to you. We offer diverse training and certification opportunities, and active guild communities where knowledge is shared and built together
- 2–3 years of experience in software or data applications, with a focus on AI/ML solutions
- Exposure to or interest in AI agents and large language models (LLMs)
- Basic to intermediate experience in cloud development (Azure preferred)
- Working knowledge of Python and software engineering practices (e.g. Git, CI/CD)
- Experience or motivation to learn MLOps and bringing ML systems into production
- Understanding of APIs, integrations, databases, and SQL at a practical level
- Structured approach to problem-solving that considers both technical and business needs
- Fluent in English, both written and spoken
- Educational background in e.g. computer science, applied mathematics, engineering
- Exposure to infrastructure as code (IaC) and containerisation for reproducible, scalable environments (e.g. Terraform, Docker)
- Familiarity with PyTorch, LangChain/LlamaIndex, deep learning, and LLM evaluation frameworks
- Experience working with data platforms and architectures (e.g. Databricks, Microsoft Fabric, event streams, data warehouses)
- Some background in structured testing methodologies to ensure solution reliability
- Experience working with teams or as a consultant, with an ability to support and learn from others
- Industry experience in sectors such as heavy machinery, power generation, or manufacturing
- Finnish skills are considered an advantage
We’re excited to hear from you! Applications are reviewed continuously, and we’ll move forward once we find the right match. If this sounds like a good fit, don’t wait too long to apply.
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