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 Development
- Flexible and Collaborative Culture
- Total Rewards

*Specific benefits are determined by employment type and location.

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