Senior AI Engineer

We are looking for a Senior AI Engineer to join our growing team of data and AI professionals. In this role, you'll help our clients solve real-world problems by designing and building AI-powered solutions that drive meaningful outcomes. You’ll work hands-on with machine learning, generative AI and cloud platforms—developing impactful applications across industries like energy, manufacturing, retail, health, mobility and more. To get a sense of our work, explore our Neste AI assistant project and our experiment-driven approach to AI delivery. We work across a wide range of challenges, and no two projects look the same. At Futurice, AI is not just about models. It’s about concrete business value. You'll be involved in projects from early exploration and experimentation to scalable, production-grade deployment—bridging the gap between business, technology, and people. As a senior team member, you'll also mentor others, contribute to our AI strategy and practices, and play a key role in shaping how we work with AI in a responsible and ethical way. What you'll do: 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. What we hope you bring: 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; We don’t expect you to tick every box. If you feel you’d grow into this role and bring complementary strengths, we’d love to hear from you. Futurice offers you: We support your growth with a wide range of projects, tools, and learning opportunities...