In this role, you will design, build and industrialise production-ready AI and GenAI solutions across different business domains.
Moreover, you will take technical ownership for selected AI initiatives, from problem framing and architecture to implementation, evaluation and deployment into production.
At the same time, you will work in dynamic cross-functional teams, applying your AI engineering expertise to different enterprise use cases, processes and data environments.
You will build scalable AI systems, including model integration, orchestration, retrieval, evaluation, monitoring, guardrails and deployment.
Furthermore, you will challenge existing solution approaches and bring external cutting-edge AI engineering expertise into the organisation.
You will also define reusable engineering patterns, technical standards and best practices for AI solutions.
In addition, you will support less experienced engineers through technical guidance, code reviews and hands-on enablement.
What should you bring along?
University degree in Computer Science, Mathematics, Physics, Engineering or a comparable technical field.
At least 5 years of professional software engineering experience, with strong hands-on Python skills.
At least 3 years of practical experience in building and industrialising AI, GenAI or ML-based systems in production or production-like environments.
Strong understanding of modern AI system design, including LLM integration, orchestration, RAG, evaluation, monitoring, APIs and deployment.
Practical experience with cloud-based engineering environments, preferably AWS or Azure, including CI/CD and modern DevOps practices.
Ability to take technical ownership in ambiguous situations and translate complex business problems into scalable AI solutions.
Willingness and proven ability to work across changing domains, teams and use cases rather than focusing on one fixed product area.
Don't forget to mention EuroTechJobs when applying.