Design, develop and deploy production-grade AI and machine learning solutions , including generative AI applications (leveraging LLMs and multimodal foundation models)
Collaborate in cross-functional teams with designers, developers, and domain experts
Contribute to client workshops and technical discovery sessions
Build, deploy and operate reliable production pipelines for AI solutions, software engineering practices based on the context
Leverage cloud platforms such as Azure, AWS, or GCP
Continuously improve how we use and implement AI in a sustainable and ethical way
Mentor junior engineers and share best practices and learnings within the team
Requirements
5+ years of hands-on experience in AI, ML engineering or applied data-intensive systems, including taking solutions from idea to production
Strong Python skills, with experience building maintainable, production-quality code and working with APIs, data processing and backend-style systems
Experience with modern data, ML and GenAI libraries and tools, such as NumPy, Pandas, Hugging Face, PyTorch, TensorFlow or similar (Deep expertise in any single framework is not required but we value the ability to apply the right tools pragmatically)
Understanding of agentic LLM architectures and patterns, including concepts like tool use, orchestration, evaluation and iterative reasoning (Experience with frameworks such as LangChain, LangGraph, OpenAI Agents SDK or similar is a plus, but not a requirement)
Understanding of data engineering pipelines and APIs
Experience deploying AI or ML solutions into production environments, including considerations around reliability, monitoring, iteration and lifecycle management
Experience working with at least one major cloud platform (Azure, AWS or GCP)
A curiosity-driven approach and a desire to stay current with AI trends and practices
Fluent professional English; Finnish skills are a strong advantage, combined with strong communication skills, a collaborative mindset, and confidence working directly with clients
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Numpy
Pandas
Python
PyTorch
Tensorflow
Benefits
A hybrid work model that supports flexibility and collaboration
Free choice of work gear — laptop, phone, tablet, headphones, and more
Sports and lunch benefit
Comprehensive healthcare and additional health insurance
Futurice clubs and free-time activity groups
Learning events and internal communities
Certification programs to support your continued development
Thorough local and global onboarding with a Futubuddy to support you throughout your journey