Senior AI Engineer - Agentic AI Lead (Hybrid, Espoo)

ICEYE

Espoo

Hybrid

EUR 78,000 - 100,000

Full time

14 days+

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Job summary

ICEYE is seeking a Senior AI Engineer in Espoo, Finland, working in a hybrid model with three days in the office. You will own the internal agentic AI system, expand its adoption across engineering, and shape the roadmap toward locally hosted models.

The role sits at the nexus of software engineering, DevOps, and MLOps, building reliable production infrastructure and data pipelines. You will collaborate with the Engineering team to validate AI outputs, improve observability, and drive the next

Qualifications

  • Experience building and owning an agentic AI system end-to-end.
  • Strong DevOps and production tooling experience.
  • Proficient in observability and production debugging.
  • Experience with MLOps or data engineering, integrating AI systems into data pipelines.
  • Ability to validate AI-generated outputs and know when to trust them.

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.

Skills

Software engineering
Agentic AI system
DevOps
Observability
AI output quality
MLOps

Tools

Prometheus
Grafana
OpenTelemetry

Job description

ICEYE is seeking a Senior AI Engineer in Espoo, Finland, working in a hybrid model with three days in the office. You will own the internal agentic AI system, expand its adoption across engineering, and shape the roadmap toward locally hosted models.

The role sits at the nexus of software engineering, DevOps, and MLOps, building reliable production infrastructure and data pipelines. You will collaborate with the Engineering team to validate AI outputs, improve observability, and drive the next

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