Global R&D Laboratories organization is seeking an R&D Lab Automation Engineer to join the Laboratory team in Wroclaw. In this role you will work closely with the local Lab team in Wroclaw and collaborate with Lab teams at 16 sites worldwide.You will be responsible for implementing and maintaining functionalities for AI-enabled automation, infrastructure orchestration, and internal engineering tools. The role combines infrastructure automation with modern AI capabilities. Design, implement, and maintain automation solutions and internal tools for R&D laboratoriesDevelop AI-enabled automation and infrastructure orchestration capabilitiesBuild and enhance automation scripts, backend services, and web-based user interfacesIntegrate systems with internal platforms using REST APIs and ensure codebase maintenanceSupport AI initiatives (e.g., RAG, agent-based workflows, LLM integrations)Analyze requirements, deliver backend/frontend features, and troubleshoot automation issuesTest, validate, and continuously improve tools and solutions, including documentationCollaborate with international teams and gradually take ownership of selected areas Must have:Degree in Engineering, Computer Science, Telecommunications or equivalent experienceVery good English communication skills and ability to work in international teamsReliability, analytical mindset, problem-solving skills, ownership, and teamworkStrong Python skills and understanding of object-oriented design principlesExperience in automation, scripting, backend development, or infrastructure toolingFamiliarity with Linux/UNIX and Windows environments (configuration, troubleshooting, scripting)Basic knowledge of Docker, REST APIs, integrations, and networking (TCP/IP)Interest in AI technologies (RAG, LLMs, agents) and willingness to learn automation design Nice to have:Experience or familiarity with R&D environments (e.g., laboratories, research setups, engineering test environments)Experience in Automation, Software, DevOps, or Infrastructure Engineering rolesFamiliarity with CI/CD, monitoring, logging, or observability toolsExperience with Docker and basic container orchestration conceptsExperience with internal engineering tools, self-service portals, or developer platformsKnowledge of vector databases, semantic search, or LLM APIs / model-serving platformsInterest in building AI assistants and agent-based workflows for technical usersUnderstanding of security and access control principles for automation platforms