Senior Full Stack Consultant, AI

• Help leading organizations turn AI and software innovation into business value
• Design and develop scalable enterprise applications using Java, Spring Boot, REST APIs and modern software architecture principles
• Focus on clean code, performance and automated testing
• Build responsive web applications using Angular or React with TypeScript
• Design and integrate APIs, databases and event-driven components using OpenAPI, PostgreSQL, Oracle and other SQL or NoSQL databases
• Integrate generative AI capabilities, including LLMs, RAG pipelines, AI agents and tool-based workflows
• Connect AI capabilities with enterprise systems through REST APIs, events or Model Context Protocol
• Automate application builds, testing and deployments using CI/CD pipelines, containers and cloud-native technologies on Azure, AWS or Google Cloud
• Collaborate with architects, business stakeholders, subject matter experts and client teams to translate business requirements into technical solutions
• Contribute through code reviews, technical discussions and clear documentation

• University degree in Computer Science, Informatics, Engineering or a comparable field, or an equivalent qualification gained through professional experience
• At least 5 years of hands-on experience in backend or full-stack software development
• Strong experience with Java and Spring Boot, including REST APIs, microservices and enterprise integrations
• Hands-on experience with Angular or React and TypeScript
• Experience with SQL or NoSQL databases, such as PostgreSQL, Oracle, MySQL or MongoDB
• Practical experience with at least one cloud platform: Microsoft Azure, AWS or Google Cloud
• Practical experience building and integrating AI-enabled applications, including LLMs, prompt engineering, semantic/vector search, RAG, AI agents, agentic workflows, model-provider SDKs and MCP
• Experience with CI/CD, containers, automated testing, code reviews, error handling, logging and monitoring
• Fluent German and very good English skills
• Experience with production-ready RAG solutions, including document ingestion, chunking, embeddings, retrieval, validation and response evaluation
• Experience developing AI agents that plan tasks, use tools, and prepare or execute actions in enterprise systems
• Proficiency in an additional programming language such as Python or C#
• Experience with AI platforms/services such as Azure OpenAI, Azure AI Foundry, Amazon Bedrock, Google Vertex AI or OpenAI APIs
• Experience with AI quality practices such as automated evaluations, guardrails, observability and tracing
• Experience with Kafka, Infrastructure as Code, Kubernetes, OpenShift or Terraform is an advantage
• Experience in regulated industries or relevant cloud, Java, frontend or AI certifications is an advantage

• Individual development opportunities through the PERSONAL GROWTH MODEL
• Over 200 training days per year in the Academy
• Certification courses
• German classes
• Flexible mobile/remote working under the Mobile Work Policy
• Tailored vacation days increasing annually with seniority, up to 30 days
• Flexible working hours
• Private health insurance
• Monthly multi-benefits funds usable for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions
• Mindfulness training and regular exchange through the Mindfulness Community
• Networking and company events