
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Helsinki, Finland"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,070–€5,000). The listed pay band (€219–€265) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2534 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: AI Engineer | €10,128/per month | €12,298/per month | €14,468/per month |
| All roles in Helsinki, Finland | €2,070/per month | €2,907/per month | €5,000/per month |
| Pay in our data — not quoted in ad (Senior) | €219/per month | €242/per month | €265/per month |
We're an award-winning company looking for a Senior AI Engineer who can take a business problem and turn it into typed, tested production code. Welcome to Nordea Life & Pension Finland. We are a solvent Finnish life insurance company and part of the Nordea Group... Now we focus on building our AI capability over maintaining a legacy. You'll join alongside data scientists, developers, and MLOps. Technical ownership, including architecture, standards and engineering direction, belongs to the senior engineers we're bringing in. What youll be doing: - Design and deliver AI solutions end-to-end: from requirements to production, leveraging LLMs, agent architectures, and API integrations - Own technical and architecture decisions within your domain - Evaluate solutions for accuracy, explainability, bias, cost, and reliability under real conditions - Collaborate with business stakeholders, architects, and developers - Contribute to MLOps practices that keep our solutions reliable and scalable Our stack is Python (typed, tested, linted - we use pytest, mypy, and ruff), SQL, AWS, Docker, Terraform, and Git. Who you are - Experience building AI solutions that run in production and are relied upon by real users - Strong Python: typed, tested, maintainable. Pytest, mypy, and ruff are part of your workflow - Experience with LLM-based applications in production: RAG, agents, or API integrations - Ability to evaluate AI solutions critically: bias, explainability, uncertainty - Working knowledge of AWS (or equivalent cloud) and Docker - Comfort with code review and working in a shared codebase - Working proficiency in Finnish and English - Masters or PhD in a related field Beneficial: - LLM finetuning or self-hosting open-source models - Agent frameworks (OpenAI Agents SDK, LangGraph, Google ADK) - Kubernetes or infrastructure-as-code (Terraform) - Background in insurance, financial services, or other regulated domains - Awareness of data privacy, GDPR, security, and ethical considerations in AI workloads What we offer: - High autonomy and ownership in a small, award-winning company - Real influence on architecture, standards and engineering direction - Close collaboration, short decision paths and meaningful day-to-day impact - Lunch (on top of salary), sport & culture benefit - Banking benefits, e.g. personnel mortgage margin and free daily banking services - Modern office above the metro station and close to the train station in Kaisaniemi - Training and education possibilities in a team that values continuous improvement
Job Details
Responsibilities
- Design and deliver end-to-end AI solutions from requirements to production
- Leverage LLMs, agent architectures, and API integrations
- Own technical and architecture decisions within the domain
- Evaluate solutions for accuracy, explainability, bias, cost, and reliability
- Collaborate with business stakeholders, architects, and developers
- Contribute to MLOps practices for reliability and scalability
Requirements
- Experience building production AI solutions used by real users
- Strong Python skills (typed, tested, maintainable) using pytest, mypy, and ruff
- Experience with production LLM-based applications (RAG, agents, or API integrations)
- Ability to critically evaluate AI solutions for bias, explainability, and uncertainty
- Working knowledge of AWS or equivalent cloud and Docker
- Comfort with code review and shared codebases
- Working proficiency in Finnish and English
- Master's or PhD in a related field
Skills & Technologies
Education Level
MastersBenefits & Perks
Recruitment Process
- 1Application submission
- 2Call with future team members

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