Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a integral community of innovators, we foster a culture of growth, collaboration, and impact.With the right people and the right ideas, there’s no limit to what we can achieve.Sounds awesome, right? Now, let's make sure you're a good fit for the role:Key Responsibilities About the Role We are looking for a Java Developer with a foundation in core Java engineering and an eagerness to build modern, AI-powered applications. In this role, you will work on scaling backend microservices while leveraging emerging AI frameworks to integrate Large Language Models (LLMs), RAG (Retrieval-Augmented Generation) pipelines, and intelligent automation into our enterprise platform.Key Responsibilities Backend Engineering: Design, build, and maintain scalable RESTful APIs and microservices using Java and Spring Boot.AI & LLM Integration: Connect backend systems with modern LLM provider APIs (OpenAI, Anthropic, Ollama, Hugging Face) using Java AI libraries like LangChain4j or Spring AI .Vector Search & RAG: Assist in integrating vector databases (e.G., pgvector, Qdrant, Pinecone, or Milvus)



to support intelligent search and contextual knowledge retrieval.Collaboration & Testing: Write clean, testable code (JUnit/Mockito) and collaborate with product managers, frontend engineers, and DevOps to ship AI-enhanced features.Qualifications & Skills 7 years of hands-on software development experience with Java 17+ .Strong experience with Spring Boot, REST API design, and microservice architectures.Experience with relational databases ( PostgreSQL, MySQL ) and ORM tools ( Hibernate/JPA ).Familiarity with containerization ( Docker ) and modern CI/CD workflows.Basic AI / LLM Knowledge: Understanding of core LLM concepts (prompts, context windows, tokens, embeddings, and temperature).Hands-on experience or coursework integrating REST-based AI APIs (e.G., OpenAI, Anthropic, Azure OpenAI).Familiarity with at least one Java AI framework ( LangChain4j or Spring AI ) or open-source vector stores.Basic understanding of RAG (Retrieval-Augmented Generation) architecture.Nice-to-Haves Exposure to Python for prototyping or basic data processing.Experience with event-driven architectures (Apache Kafka, RabbitMQ).Experience deploying applications on cloud platforms (AWS, GCP, or Azure).What we offer Commitment to Professional DevelopmentFlexible and Collaborative CultureTotal Rewards*Specific benefits are determined by employment type and location.#J-18808-Ljbffr

📌 Senior Java & Llm Engineer (Barcelona)
🏢 Wizeline
📍 Barcelona