AI/ML ENGINEER

The role

What we expect

• Strong Python skills as it's our main development tool; experience with other languages is a plus
• Hands-on experience with generative AI: RAG architectures, embeddings, vector databases, prompt engineering, and at least one orchestration framework (LlamaIndex, LangGraph, Langchain or similar)
• Hands-on experience designing and delivering ML solutions in production: supervised/unsupervised models, feature engineering, training pipelines, and model deployment across the full lifecycle
• Understanding of agentic systems: tool use, multi-step planning, skills, MCP and a healthy sense of when not to reach for an agent
• MLOps fundamentals: model pipelines, versioning, monitoring, and observability of LLM applications in production
• Ability to translate business requirements into technical solutions and communicate them clearly to different stakeholders
• Experience with at least one cloud environment (Azure, AWS, or GCP) and its AI/ML services
• Solid fundamentals in containerisation (Docker) and CI/CD practices.
• In addition to English, we require fluent written and spoken Finnish skills, as a significant part of our customer work is conducted in Finnish.

What we offer

• Own a piece of the journey: Opportunity to buy company stocks through our employee share program
• Shared success: A yearly bonus based on company performance (equal to all full-time Recordlians)
• Work your way: A flexible remote working model
• Comprehensive healthcare: Extensive healthcare coverage, including dental and mental health services
• Unwind monthly: One complimentary massage every month through our partner network
• Weekly Wellbeing Hour: One paid hour per week built into your working time; use it for a workout, family life, or just to recharge
• Covered on the go: Travel and leisure-time insurance
• Your choice of gear: Choose the laptop and phone that work best for you. We also provide a phone benefit
• Childcare support: Childcare services if your child falls ill
• Keep learning and connecting: Recurring training, learning sessions, knowledge sharing, and other social events.