↳- 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.
↳- Nice to have: Experience in healthcare, medical technology, pharmaceuticals, financial services, or another regulated environment.
↳- Familiarity with GDPR, data protection by design, information-security controls, quality management systems, or regulated software processes.
↳- Experience with AI agents, retrieval-augmented generation, enterprise search, document extraction and classification, AI evaluation, or workflow monitoring.
↳- Experience with low-code or no-code automation platforms alongside traditional software development.
