Senior AI Consultant

G+D makes the lives of billions of people around the world more secure. We create trust in the digital age with integrated security technologies in three business areas: Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our co-operation within G+D.

The whole world trusts us when it comes to physical or digital currencies. We increase the security and efficiency of the cash cycle in collaboration with central banks and the entire currency industry. As the market leader in advanced currency management, would you like to join us in shaping the future of payments?

Job Title: Senior AI Consultant Job Description: We are seeking a seasoned professional to enable RAG-based use cases with expertise in fine tuning and prompt engineering. In this role, you will translate business needs into actionable RAG solutions. design tailored workflows, and drive user training—all while ensuring optimal performance and scalability of AI applications. Key Responsibilities:

• Business Requirements Analysis: Interpret business needs and convert them into structured RAG use cases.
• Solution Design & Consulting: Advise on RAG workflows and recommend best practices for platform configuration without heavy coding.
• Platform Implementation: Configure and customize the SaaS platform to meet project-specific goals.
• Fine Tuning & Prompt Engineering: Optimize LLMs for enhanced chatbots, content generation, and text analytics.
• User Training & Continuous Improvement: Lead onboarding sessions and drive ongoing enhancements to maximize ROI.
  
  
  

• Strong background in AI/ML with hands-on experience in generative AI and RAG methodologies.
• Working Knowledge of Agentic AI & MCP concepts.
• Proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch.
• Experience with cloud platforms (preferably Azure) and MLOps tools such as Docker, Kubernetes, and CI/CD.
• Excellent communication and consultative skills to bridge tech and business needs.
  
  
  

• Proven production-grade deployment of RAG solutions.
• Experience with large-scale datasets and vector databases (e.g., FAISS, Milvus).
• Solid grasp of AI ethics and responsible AI practices.