AI Engineer

• The AI Enablement team supports the adoption of AI capabilities across Raisin’s products and internal systems
• The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements
• The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value
• As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance
• Work with product and engineering teams to identify and refine AI use cases
• Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
• Promote consistent and reusable solutions to reduce fragmentation across teams
• Develop or extend shared components, integrations, or services when required to unblock teams
• Define and implement patterns for integrating LLM capabilities into the platform
• Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
• Manage AI costs and budget usage when providing shared model access and services to other teams
• Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
• Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
• Help teams choose appropriate solutions based on context rather than applying AI by default
• Contribute to establishing a pragmatic and consistent approach to AI usage
• Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
• Support the implementation of safeguards such as access controls, validation, and monitoring
• Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
• Contribute to practices that ensure solutions are reliable and aligned with internal standards

Benefits

• Visa & Relocation Support
• 1,700 EUR Training Budget
• Free Choice of Hardware
• Beginner German Classes
• Food & Drinks
• Flexible working hours, home office and 28 vacation days
• Company Pension Scheme
• Team Events
• Subsidised Urban Sports Club Membership- Comfortable operating in environments with evolving scope and priorities
• Strong generalist mindset, comfortable working across technical domains
• Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
• Experience working on production systems and collaborating across teams
• Experience with cloud environments (AWS preferred)
• Solid understanding of APIs, system integration, and distributed systems
• Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
• Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
• Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
• Ability to assess where AI adds value and where it does not
• We value diversity and the unique experiences each individual brings. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply