About the company
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Responsibilities
- Own the team's internal agentic AI system, spanning issue analysis, early detection, and prevention to improve customer perceived system quality, and lead its adoption across the wider engineering organization
- Identify and prioritize where else agentic workflows can meaningfully improve how the Operations team works, beyond the current flagship agent
- Build the infrastructure, tooling, and operational discipline (AIOps, data pipelines, monitoring) the system needs to run reliably in production
- Bring a forward-looking, hands-on view of what AI agents can realistically do today and in the next 6-12 months, and apply that judgment to the agent's roadmap, including preparing for a future move toward locally-hosted models
Requirements
- Versatile, hands-on software engineering background, comfortable working across different backend languages and technologies
- A track record of building and owning an agentic AI system or comparable AI-driven tool end-to-end, not just using one
- Solid DevOps foundation: infrastructure, deployment pipelines, and operating tooling in production
- Strong grounding in observability and production debugging, with hands-on experience using metrics, logs, and traces (e.g. Prometheus, Grafana, OpenTelemetry)
- Experience validating the quality of AI-generated output, and a practical approach to knowing when it can be trusted and when it cannot
- Experience in MLOps or data engineering, ideally including integrating AI systems with data pipelines and infrastructure.
Conditions
- Employment type: Permanent
- Workplace model: Hybrid, 3 days a week at the office
- Employment is subject to applicable security screening (incl. SUPO)
- Base salary range for this position is 7 000 - 9 000 € per month (gross), depending on experience, and will be negotiated individually.
- Benefits are designed to support your health and wellbeing, at work and beyond. They keep improving based on employee feedback, and offerings vary by location.