AI Enablement & Automation Engineer

Wer wir sind

We are OnlineDoctor! A young and fast-growing start-up. With our innovative telemedicine platform we want to help doctors address patients’ concerns with a digital-first approach.

Responsibilities

• Work closely with teams across the organization to understand workflows, identify bottlenecks, and uncover opportunities for process improvement and automation.
• Design and build internal automation and AI-enabled solutions, including assistants, agents, document workflows, extraction and classification, and knowledge search.
• Build and maintain integrations between AI services and systems such as SharePoint, Teams, Jira, Confluence, Zoho, and other internal tools using APIs, webhooks, scripting, and automation tools.
• Take ownership of solutions beyond the prototype stage, including testing, deployment, monitoring, documentation, troubleshooting, and continuous improvement.
• Maintain and further develop existing automation and AI solutions across the organization.
• Establish reusable standards for integrations, access controls, testing, monitoring, error handling, documentation, and human review.
• Support teams in evaluating automation and AI ideas, developing suitable solutions, and using approved tools effectively.
• Identify and prioritize internal automation and AI use cases based on value, feasibility, effort, data sensitivity, risk, and expected adoption.
• Work closely with IT, Security, Privacy, Quality Management, Regulatory, Legal, and other relevant experts to translate agreed requirements into practical technical controls.

Requierements

• Professional experience in software engineering, automation engineering, systems integration, internal tooling, or a comparable hands-on technical role.
• Proven experience independently designing, building, and maintaining software, integrations, or automation solutions used in day-to-day operations.
• Strong practical programming or scripting skills and experience working with APIs, webhooks, data sources, business systems, and automation or integration tools.
• Practical familiarity with generative AI, AI assistants, or AI-supported workflows. Deep machine-learning or AI research expertise is not required.
• Understanding of authentication, authorization, secrets management, logging, monitoring, and basic cloud-security practices.
• Ability to understand operational problems and translate them into pragmatic, reliable, and maintainable technical solutions.
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.

Fähigkeiten

ICTSecurityML / AIJiraConfluence

Gehaltsspanne

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