GenAI Engineer

Founded in 1960 in the UK, REED has grown continuously and become a leading brand both in the UK and the international arena. Today REED has 350 offices with more than 3.000 employees and is providing services across 20 specialist sectors. We work closely with experienced and qualified professionals across a wide range of industry sectors, delivering bespoke recruitment solutions on a variety of roles for mid and senior level.

As Reed Turkey, we are currently looking for a "GenAI Engineer" for our global client operating in the manufacturing sector

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Responsibiliti

• esBuild production-grade GenAI applications in Python or .N
• ETSystematically evaluate and monitor GenAI workflows and agen
• tsIterate on models and agents based on structured experiments, not intuiti
• onDesign and implement Azure-based solution architectur
• esFocus on integration, scalability and maintainability of applicatio
• nsWork with modern API integrations and LLM orchestration framewor
• ksTranslate AI capabilities into concrete process improvemen
• tsCommunicate technical concepts clearly to non-technical stakeholde
• rsDrive organizational change by bringing people along in the AI transformati

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Qualificat

• ionMSc or PhD in Computer Science, Informatics or Business Engineering with a focus on
• AI.Strong proficiency in Python (and/or .NET) for application developm
• entExperience with LLM orchestration frameworks (LangGraph, Microsoft Agent Framewo
• rk)Hands-on experience with GenAI evaluation and monitoring tooling (MLflow, Langfu
• se)Knowledge of Azure solution architecture and cloud deploym
• entUnderstanding of RAG pipelines, vector databases, and agentic patte
• rnsFamiliarity with MLOps best practices and a data-driven, iterative approach to model qual
• ityUnderstanding of out-of-the-box capabilities of existing AI solutions (claude, copilot, n8n.
• ..)Strong communicator; able to translate technical concepts to business stakehold
• ersProblem-solver with a continuous improvement mind
• setComfortable working in cross-functional te
• amsActive learning mindset: stays current in a fast-evolving dom
• ainPrevious experience in an industrial or manufacturing environm
• entExposure to enterprise systems (ERP, MES) and their integration patte
• rnsBackground in startup mindset or AI transformation initiati