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 global 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
* Adaptable and Collaborative Culture
* Total Rewards *Specific benefits are determined by employment type and location. #J-18808-Ljbffr

📌 Senior Java (España)
🏢 Wizeline
📍 España