AI Solutions Engineer

The Business Applications team in Espoo, Finland seeks an AI Solutions Engineer to bridge rapid AI-assisted product delivery and scalable, governed platform engineering. The role spends roughly 50% of time on internal use cases from business needs to production-grade applications, and 50% on the shared internal applications platform, DevOps workflows, and governance guardrails. Reports to AI Platform Lead / Head of Business Applications. Employment is permanent, hybrid/office workplace model, and subject to applicable security screening (incl. SUPO, where required). Application process: introductory call with TA, hiring manager interview, technical & platform case interview, skip level interview. ICEYE is a Finland-headquartered provider of SAR satellite-based sovereign intelligence.

Responsibilities

Partner with business stakeholders to translate operational bottlenecks into technical designs and scalable applications; Build, iterate on, and productionize full-stack internal applications and automations (primarily Python/FastAPI, TypeScript/React, PostgreSQL) using AI-first coding workflows and LLM APIs; Design and maintain reliable, governed integrations with core enterprise systems and data sources; Own the full lifecycle of solutions from prototyping to production rollout, documentation, and maintainability; Collaborate with the AI Platform Lead to develop, operate, and scale the AWS-based internal applications platform managed via Terraform; Build reusable, self-service platform patterns for the fleet of internal apps; Maintain and improve GitHub Actions CI/CD pipelines and shared platform libraries; Uphold governance, security-by-default, and auditability across the platform; Help triage and resolve platform-level operational issues; Act as technical sounding board and mentor for Junior AI Solutions Engineers, reviewing PRs and guiding design; Contribute to shared templates, runbooks, and architecture decision records

Requirements

4–6 years of hands-on experience in software engineering, full-stack development, or platform/DevOps engineering, with a track record of shipping and operating production web applications end to end; Systems and platform mindset, preferring reusable patterns, clean abstractions, and automation over ad-hoc workarounds; Strong appreciation for governance, security, and auditability; Strong proficiency in Python (e.g., FastAPI) and/or TypeScript/React, plus solid relational database skills (PostgreSQL, schema isolation, migrations); Practical Cloud & DevOps experience on AWS (e.g., ECS/Fargate or containers, IAM, networking/ALB, RDS/Aurora) and Infrastructure as Code (Terraform); Hands-on experience with CI/CD pipelines (GitHub Actions, Docker, automated testing and security checks) and AI-assisted engineering tools (Cursor, Claude Code) plus practical LLM API integration; Pragmatic communicator comfortable working directly with business stakeholders

Nice to have

Experience integrating with enterprise systems and APIs such as HRIS/ATS (HiBob, Ashby), CRM (Salesforce), data platforms (Databricks), or Slack/GitHub Apps; Hands-on familiarity with security and compliance controls in cloud environments (OIDC/OAuth2, IAM database authentication, KMS encryption, Checkov/IaC scanning, Splunk/audit logging); Prior experience mentoring junior engineers and reviewing code/architecture on a fast-moving team