Salary: 60.000 - 70.000 € per year Requirements: Degree in Computer Science, IT, Engineering, Mathematics or similar with a strong quantitative profile Proficiency in the use of public cloud technologies for designing and implementing deployment architectures for AI systems (detailed Google Cloud experience is necessary) Knowledge of MLOps concepts, data connections and APIs, databases as well as security and access concepts Hands-on experience with AI, GenAI, LLMs or agentic AI – with solutions that have already moved to production Experience with RAG architectures, vector databases and agentic AI frameworks or patterns such as ADK, LangChain, LangGraph or comparable approaches Sound understanding of software engineering best practices such as clean architecture, testing, versioning, documentation and maintainable code Strong Python engineering skills and confidence in building reliable backend services, APIs, databases and cloud-native components Ability to communicate technical concepts to a non-technical audience Proactive, self-steering attitude and a strong analytical, problem-solving mindset Capable of navigating and delivering in dynamic and regulated enterprise environments A passion for innovation and a feel for sustainable solutions Fluent in written and spoken English; basic German skills are a plus Responsibilities: Do you have hands-on experience with AI, LLMs and agents – beyond the buzzwords? Are you comfortable working with architectures, APIs and databases to get the job done? With us, you can expect a collaborative company culture built on mutual respect, diverse career paths and plenty of room to grow. Sounds good? Then apply – your CV is sufficient – your squad is excited to meet you. Use cutting-edge AI to build GenAI- and agentic-based solutions that solve complex business challenges and improve automation, efficiency and customer experience Design and implement deployment architectures using cloud technologies to ensure AI solutions perform robustly in production Collaborate with cross-functional teams locally and globally to ensure seamless integration with existing systems and workflows Stay up to date with the latest trends and advancements in GenAI and its tooling, evaluate what works, and apply innovative techniques to improve capabilities Mentor and support junior engineers, share expertise, and help foster a culture of continuous learning and development Technologies: AI Backend Cloud Support Mobile Python Security More: We offer many benefits: - Company pension plan, capital-building offers, free Deutschlandticket and bicycle leasing, company restaurant - Hybrid working: in addition to working in the office, you can also work remotely within operational, regulatory and legal requirements - Individualized work schedule models, sabbatical, subsidization of nursing and childcare costs - Personal budget for continuing education and development as well as health; plus a personal budget to set up your mobile working space At ING we are colourful and diverse: different personalities with different perspectives—an international culture where we value and appreciate each other. We believe in substance over style, people instead of labels. This describes you to a T? Simply apply online — your resume is all we need to get to know you; a cover letter is optional. last updated 23 week of 2026