IDP Cloud Software Engineer—AI Pipelines

OP Pohjola

Helsinki

Hybrid

EUR 60,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Structured career advancement
Occupational healthcare
Sport and cultural benefits
Discounts on OP Pohjola products
Opportunity to grow skills in Azure AI

Job summary

OP Pohjola is seeking an experienced software engineer to join the Intelligent Document Processing (IDP) team in Helsinki or Oulu. You will design, build and maintain cloud-native document processing solutions that extract, validate and route information while collaborating with analysts and stakeholders.

The role emphasizes production-grade development, architectural decisions, and delivery of AI- and document intelligence initiatives in a hybrid working model.

Qualifications

  • 3+ years of software development experience with Java, Python and/or TypeScript.
  • Building scalable and secure cloud-native solutions on Azure.
  • Experience in enterprise content management or other business-critical information systems is highly relevant.
  • Good communication skills in Finnish and English.

Responsibilities

  • Developing and maintaining document processing pipelines
  • Troubleshooting and resolving production issues
  • Participating in technology and architecture decisions
  • Collaborating with Solution Analysts, business stakeholders, and fellow developers
  • Contributing to AI- and document intelligence initiatives

Skills

Java
Python
TypeScript
Azure cloud
Kubernetes
REST APIs
CI/CD
Security practices
Finnish/English comms

Tools

Azure
MongoDB
Generative AI

Job description

OP Pohjola is seeking an experienced software engineer to join the Intelligent Document Processing (IDP) team in Helsinki or Oulu. You will design, build and maintain cloud-native document processing solutions that extract, validate and route information while collaborating with analysts and stakeholders.

The role emphasizes production-grade development, architectural decisions, and delivery of AI- and document intelligence initiatives in a hybrid working model.

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