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 (Open AI, Anthropic, Ollama, Hugging Face) using Java AI libraries like Lang Chain4j 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 Dev Ops 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 (Postgre SQL , My SQL ) 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., Open AI, Anthropic, Azure Open AI).

Familiarity with at least one Java AI framework (Lang Chain4j 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, Rabbit MQ).

Experience deploying applications on cloud platforms (AWS, GCP, or Azure).

What we offer Commitment to Professional Development Flexible and Collaborative Culture Total Rewards *Specific benefits are determined by employment type and location. #J-18808-Ljbffr

📌 Senior java & llm engineer (Barcelona)
🏢 Wizeline
📍 Barcelona