Developer - AI & GenAI (Java / Spring)

Hands-on developer to build conversational, agentic AI solutions and GenAI-powered websites. Work on ChatGPT/agent integrations, RAG (retrieval-augmented generation), chatbot development and conversational UIs, while driving innovation and inspiring business stakeholders., * Design, develop and maintain backend services for conversational and GenAI applications.

• Implement RAG pipelines, connectors to knowledge sources, and integrations with LLM/agent platforms (ChatGPT/other).
• Build microservices with Java/Kotlin and Spring Boot; deploy and operate on Azure cloud.
• Develop and tune agentic AI workflows and multi-component orchestration (chains, tools, planners).
• Create chatbot features and integrations for web and social media channels.
• Collaborate with product, UX and ML teams to translate requirements into production solutions.
• Contribute to prototyping and proof-of-concepts to evaluate new GenAI capabilities.
• Promote best practices: testing, CI/CD, observability, security and performance.
• Mentor peers, share knowledge and help drive innovation across the team., * Work at the intersection of software engineering and cutting-edge GenAI/agent technology.
• Opportunity to shape conversational web direction and influence business use cases.
• Collaborative environment in Amsterdam with competitive compensation and growth opportunities.

• 4-6 years software development experience with strong Java and Spring Boot expertise. Kotlin experience is a plus.
• Practical experience with GenAI concepts: ChatGPT/LLM integrations, RAG, prompt engineering, agentic workflows.
• Experience deploying applications on Azure (App Services, AKS, Functions, or equivalent).
• Strong backend design skills: microservices, REST/GraphQL APIs and data integration.
• Good understanding of AI application architecture and safe LLM integration practices.
• Collaborative attitude, willingness to learn and bring innovation to the team.
• Proven initiative in proposing and delivering new ideas that engage business stakeholders.

Preferred skills

• Experience with agent frameworks or orchestration libraries (LangChain, LlamaIndex, etc.).
• Familiarity with Spring Cloud, Kubernetes, Docker and infrastructure-as-code.
• Frontend or conversational UI experience (web chat, voice, social media bots).
• Knowledge of monitoring, logging and observability for AI systems.
• Familiarity with safety, privacy and compliance concerns for GenAI (data handling, PII).
• Experience building prototypes or MVPs in fast-moving innovation contexts.