About the role

Design and develop robust Java backend services and MCP servers to integrate enterprise architectures with Large Language Models. Build scalable microservices that support streaming responses and function calling to enable AI-native business solutions.

What they look for

Java 11+ Spring Boot Spring Cloud Generative AI Model Context Protocol (MCP) Spring AI LangChain4j Microservices API Design LLM Integration PostgreSQL Pgvector Kafka RabbitMQ Distributed Systems Asynchronous Communication

Requirements

Requires advanced expertise in Java and the Spring ecosystem combined with practical experience in Generative AI frameworks. Candidates should be proficient in designing distributed systems and integrating LLMs with relational and vector databases.

Benefits

Competitive compensation package Health insurance Dental insurance Meal and food allowance Childcare assistance Extended parental leave Wellness and fitness partnerships Profit-sharing program Life insurance Continuous learning opportunities Discounts on partner services and products Mental and physical well-being platforms Pregnancy and responsible parenting support Language courses

Full description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Desenvolvedor Java Backend Sênior (Java + GenAI) based in Brazil.

This role is designed for a senior backend engineer who will build the technical foundation connecting enterprise architectures with advanced AI models. You will develop secure, scalable services that enable business systems to interact effectively with Large Language Models (LLMs). The position combines deep Java expertise with Generative AI technologies, contributing to the evolution of AI-native solutions. You will work in a collaborative environment focused on innovation, modernization, and impactful technology delivery. The role requires strong architectural thinking, integration skills, and experience building resilient backend ecosystems. You will help shape the future of intelligent applications by bridging traditional systems and emerging AI capabilities.

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Accountabilities: The role focuses on designing and developing robust backend solutions that enable secure and efficient AI integrations while supporting business-critical platforms.

Develop and maintain high-quality backend services using Java 11+ and the Spring ecosystem, including Spring Boot and Spring Cloud.

Design and implement MCP (Model Context Protocol) Servers in Java, enabling secure and standardized access between enterprise systems, databases, and AI models.

Build GenAI-powered integrations using frameworks such as Spring AI or LangChain4j.

Create resilient microservices architectures supporting streaming responses, Function Calling (Tool Use), and asynchronous communication with LLMs.

Develop secure APIs and backend components that expose business rules and data to AI-driven applications.

Collaborate with technical teams to evolve architecture, improve performance, and ensure scalability of solutions.

Contribute to the modernization of enterprise applications through AI-enabled engineering practices.

Requirements:

The ideal candidate combines strong backend engineering expertise with practical experience in Generative AI technologies and modern software architecture.

Advanced experience with Java development and the Spring ecosystem (Spring Boot, Spring Cloud).

Hands-on experience creating backend solutions integrated with Generative AI models and frameworks.

Practical knowledge of MCP Servers (Model Context Protocol) development or similar AI integration patterns.

Experience designing microservices, APIs, asynchronous workflows, and scalable distributed systems.

Familiarity with LLM integrations, streaming responses, and Function Calling concepts.

Experience with relational databases and vector database extensions, such as pgvector with PostgreSQL, is a plus.

Knowledge of messaging systems such as Kafka or RabbitMQ for AI request processing is desirable.

Strong problem-solving skills, ownership mindset, and ability to collaborate in multidisciplinary teams.

Availability for hybrid work in Campinas, São Paulo, with office presence requirements depending on location.

Benefits:

Competitive compensation package.

Health and dental insurance.

Meal and food allowance.

Childcare assistance.

Extended parental leave.

Access to wellness and fitness partnerships through platforms such as Wellhub and TotalPass.

Profit-sharing program (PLR).

Life insurance.

Continuous learning opportunities through internal learning platforms.

Discounts on partner services and products.

Access to online platforms focused on physical, mental, and overall well-being.

Pregnancy and responsible parenting support programs.

Partnerships with online learning platforms and language courses.

Additional benefits and employee support initiatives.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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