Role overview
MAKE YOUR STORY REAL
At Siili, we don't just talk about AI – we make it real. We build AI-powered solutions that deliver measurable impact, combining data, design, and engineering. From recommendation engines to generative AI, our work goes beyond experiments and proof-of-concepts. We deliver solutions that scale and create value for our clients.
As a Senior AI Engineer, you will play a leading role in designing, building, and deploying machine learning and AI solutions that help organizations transform how they use data. You'll work as part of our Data & AI community, alongside data scientists, data engineers, and data architects – bringing deep expertise in true AI engineering: making models work in production, ensuring reliability, scalability, and performance. In addition to hands-on technical work, you will mentor peers, shape technical direction, and act as a trusted advisor to clients.
What you'll do
- Lead the design and implementation of end-to-end AI solutions, from prototyping to production deployment.
- Architect and build LLM-powered applications and agentic systems integrated into real business processes and systems.
- Collaborate with data scientists and engineers to turn models into robust, scalable products.
- Apply and champion MLOps practices to ensure reproducibility, monitoring, and continuous improvement.
- Work with modern cloud environments (Azure, AWS, GCP) and open-source AI frameworks.
- Stay ahead of the fast-evolving AI landscape and bring that insight into client projects and internal capability building.
What we're looking for
We are looking for a seasoned Senior AI Engineer who has built and led real AI solutions – beyond using APIs or experimenting with models. We hope you recognize yourself in most of these:
- 5+ years of experience in AI/ML engineering or data science, with a deep understanding of key ML concepts such as classification, regression, NLP, and generative AI.
- Experience of building and delivering production-grade LLM and agentic applications, incl. evaluation, monitoring, and scaling.
- Deep knowledge of core LLM concepts e.g. tokenization, RAG, CoT, reasoning models, memory, fine-tuning, tool use, and self-correction.
- Strong hands-on experience with MLOps, CI/CD, containers, and cloud environments.
- Ability to design and maintain data pipelines, ensuring model reliability and performance in production.
- Experience guiding technical teams and taking ownership of architectural decisions.
- Curiosity and drive to stay ahead of developments in AI and apply them responsibly.
- Excellent communication and consulting skills — able to guide stakeholders, create understanding, and inspire confidence around AI capabilities.
- Fluent in Finnish and English.
Relevant technologies:
- LLMs and LLM middleware: GPT, Claude, open-source models, LiteLLM, vLLM
- Agent technologies: MCP, agent/workflow frameworks (LangGraph, LlamaIndex, Haystack, Magentic, Strands)
- Platforms: Azure AI Foundry, Amazon Bedrock, Snowflake and Databricks
- Cloud: Azure, AWS, GCP
- Python
- Vector databases: Pinecone, pgvector
- AI powered development tools: ChatGPT, Cursor, GitHub Copilot, Claude Code, OpenAI Codex
What we offer
- A technically strong and collaborative community with experienced data professionals.
- Opportunities to lead and influence architecture, data platforms, or AI enablement.
- Real-world impact with scalable, meaningful Data & AI solutions tied to business strategy.
- Continuous learning through mentoring, training, and partnerships with Microsoft, Databricks, Nvidia and more.
- Practical benefits: flexible hybrid work, well-being support, hobby clubs, daycare support for sick children, and a share option program.
- Company with a mission and a clear vision and purpose.
- Mental well-being at the core, with services like Focus Tiger, in-house coaching, and Brain-Friendly Leadership training.
- A culture shaped by Joy, Ambition, Responsibility and a Humane touch.
"At Siili, you're not just coding models. You're making AI real – in production, at scale, with impact. Make AI Real!"
What you'll work on
- Lead the design and implementation of end-to-end AI solutions, from prototyping to production deployment.
- Architect and build LLM-powered applications and agentic systems integrated into real business processes and systems.
- Collaborate with data scientists and engineers to turn models into robust, scalable products.
- Apply and champion MLOps practices to ensure reproducibility, monitoring, and continuous improvement.
- Work with modern cloud environments (Azure, AWS, GCP) and open-source AI frameworks.
- Stay ahead of the fast-evolving AI landscape and bring that insight into client projects and internal capability building.
What we're looking for
We are looking for a seasoned Senior AI Engineer who has built and led real AI solutions – beyond using APIs or experimenting with models. We hope you recognize yourself in most of these:
- 5+ years of experience in AI/ML engineering or data science, with a deep understanding of key ML concepts such as classification, regression, NLP, and generative AI.
- Experience of building and delivering production-grade LLM and agentic applications, incl. evaluation, monitoring, and scaling.
- Deep knowledge of core LLM concepts e.g. tokenization, RAG, CoT, reasoning models, memory, fine-tuning, tool use, and self-correction.
- Strong hands-on experience with MLOps, CI/CD, containers, and cloud environments.
- Ability to design and maintain data pipelines, ensuring model reliability and performance in production.
- Experience guiding technical teams and taking ownership of architectural decisions.
- Curiosity and drive to stay ahead of developments in AI and apply them responsibly.
- Excellent communication and consulting skills — able to guide stakeholders, create understanding, and inspire confidence around AI capabilities.
- Fluent in Finnish and English.