AI Integration Engineer

Oroox AG; Kraków; On-site; PLN 140,000 - 190,000; Full time

Job summary

Oroox AG in Kraków seeks an AI Integration Engineer to connect systems, build reliable workflows and deliver AI-assisted tools that streamline operations. You will work with the Lead AI Engineer and cross-functional teams to implement AI-enabled integrations that tie company data to business processes.

The role focuses on building scalable backend services, API connectors and pipelines, with an emphasis on retrieval-augmented generation and secure data handling.

Qualifications

• Proven backend development or systems integration experience.
• Strong programming skills in Python, TypeScript or equivalent.
• Experience with REST APIs, OAuth, webhooks, SQL, and data transformation.
• Experience building an LLM-powered application or integrating a model API.
• Understanding of retrieval-augmented generation and structured outputs.
• Experience with Git, automated testing and deployment workflows.
• Careful handling of credentials and company data.
• Professional English and ability to clarify requirements with technical and business colleagues.

Responsibilities

• Build integrations with Microsoft 365, Jira Service Management, Nextcloud and CRM.
• Develop backend services, API connectors and background jobs.
• Create pipelines for retrieving, processing and indexing documents and information.
• Implement AI-assisted search with source references and permission checks.
• Design workflows for support triage, reply drafting and customer requirements.
• Use structured outputs and tool calling to connect AI to business functions.
• Implement validation, retries, error handling and logging.
• Document integrations and support ongoing operation.
• Collaborate with users to improve workflows post-release.

Skills

Backend development

Python

TypeScript

REST APIs

OAuth

Webhooks

SQL

LLM integration

Git

Automated testing

CI/CD

Tools

Git

CI/CD pipelines

n8n

Microsoft Graph

Azure

Nextcloud APIs

Job description

Oroox is a software company headquartered in Liechtenstein, with international development teams. Our Manufacturing Commerce Cloud helps manufacturers automate quoting, ordering and the workflows surrounding production.

We are introducing AI into our internal operations and product ecosystem. We are looking for an AI Integration Engineer who can connect systems, build reliable workflows and deliver tools that make everyday work easier.

Your Role

You will turn defined business needs into working integrations and AI-assisted applications. Working with our Lead AI Engineer and colleagues across development, support, implementation and operations, you will build the services that connect AI to company knowledge and business systems.

Your Responsibilities

• Build integrations with Microsoft 365, Jira or Jira Service Management, Nextcloud and our internally developed CRM.
• Develop backend services, API connectors, webhooks and background processing jobs.
• Create pipelines for retrieving, processing and indexing documents and business information.
• Implement AI-assisted search and knowledge retrieval with source references and permission-aware access.
• Build workflows for support triage, reply drafting, meeting follow-ups and the preparation of customer requirements.
• Use structured model outputs and tool calling to connect AI applications with business functions.
• Implement validation, approval steps, retries and error handling.
• Add logging, monitoring and tests so integrations remain reliable.
• Work with users to assess usefulness and improve workflows after release.
• Document integrations and support their ongoing operation.

Qualifications

• Professional experience in backend development or systems integration.
• Strong development skills in Python, TypeScript or another relevant backend language.
• Practical experience with REST APIs, OAuth, webhooks, SQL and data transformation.
• Experience building an LLM-powered application or integrating a model API into software.
• An understanding of retrieval-augmented generation, structured outputs and common model limitations.
• Experience with Git, automated testing and deployment workflows.
• Careful handling of credentials, personal information and company data.
• Professional English and the ability to clarify requirements with technical and business colleagues.

Useful Additional Experience

• Microsoft Graph, Azure and Microsoft Entra ID.
• Atlassian APIs, Nextcloud APIs or CRM integrations.
• Document extraction, search indexes and vector databases.
• Workflow platforms such as n8n.
• Queues, asynchronous processing and containerized applications.
• Manufacturing or B2B SaaS environments.

How We Work With AI

We build integrations that respect existing permissions and expose only the information needed for a task. Confidential company and customer information must be protected and excluded from provider model training.

Workflows must make their actions understandable and provide human review where required, particularly before external communication or changes to important business records.

What We Offer

• Responsibility for applications used by colleagues across the company.
• Technical guidance and collaboration with our Lead AI Engineer and development teams.
• A clear connection between your engineering work and measurable business improvements.
• An international software environment with opportunities to develop your AI engineering skills.
• Compensation based on experience, responsibility and location.