Mid Level AI Engineer PL - Java

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid Level AI Engineer PL - Java based in Brazil.

As an AI Engineer, you will help transform artificial intelligence capabilities into practical, business-focused solutions with real-world <impact.You> will contribute to building a new Java-based engine using Spring to support AI-powered documentation through Retrieval-Augmented Generation (RAG).The role combines backend engineering with emerging AI technologies, including LLMs, agents, prompt engineering, and retrieval <systems.You> will design multi-step automations and AI interactions while ensuring quality, security, and reliability in production environments.Working end-to-end, you will collaborate with multidisciplinary teams and adapt to different technology stacks and project <requirements.You> will have the opportunity to work with modern AI development practices and contribute to innovative, AI-native engineering approaches.This is a strong opportunity for a proactive engineer who enjoys learning, experimenting, and turning new AI capabilities into scalable software.

Accountabilities

• AI-Powered Backend Development: Design and develop a robust Java/Spring engine supporting AI-powered documentation generation and other intelligent application capabilities.
• AI Agent Development: Implement automations and interactions with technical environments using AI agents capable of executing multi-step tasks.
• RAG Solutions: Build and integrate Retrieval-Augmented Generation capabilities to provide relevant, contextual information to AI-powered applications.
• AI Specifications: Structure clear specifications and context for AI models while maintaining appropriate quality, security, and production controls.
• End-to-End AI Engineering: Contribute across the complete AI development lifecycle, from solution design and implementation through integration, testing, and production deployment.
• Prompt & Model Integration: Develop effective prompts and integrate appropriate AI models, skills, and supporting technologies into software solutions.
• AI Architecture: Apply concepts such as Harness Engineering, MCP, token management, AI context, and Software Design Documents to create reliable AI-enabled applications.
• Cross-Functional Collaboration: Work closely with engineering and project teams to integrate AI capabilities effectively into existing and new technology solutions.
• Technology Adaptability: Navigate different technology stacks and development environments, adapting technical approaches to the specific needs of each project.
• Innovation: Explore emerging AI technologies, methodologies, and approaches to continuously improve solution quality and engineering efficiency.

Requirements

Professional Experience: Mid-level experience in software engineering or AI engineering, with a strong foundation in backend development.

Java Development: Solid experience developing applications with Java; knowledge of the Spring framework is strongly preferred.

AI & LLMs: Practical understanding of Large Language Models and how they can be incorporated into production software applications.

RAG: Knowledge of Retrieval-Augmented Generation concepts and experience applying retrieval-based approaches to AI solutions.

Prompt Engineering: Ability to design and refine effective prompts for interacting with AI models and achieving reliable outputs.

AI Agents & Skills: Understanding of AI agents, multi-step task execution, and the development or implementation of AI skills.

Modern AI Concepts: Familiarity with MCP, token management, AI context, Harness Engineering, AIDLC, and SDD practices.

AI Models: Understanding of different AI models and the ability to select and apply them according to project requirements.

Technical Adaptability: Ability to work comfortably across different technologies and technology stacks as project needs evolve.

Problem Solving: Strong analytical and problem-solving capabilities, with a practical and solution-oriented approach.

Innovation Mindset: Curiosity and enthusiasm for exploring emerging technologies and developing new approaches to AI engineering.

Collaboration: Strong communication and teamwork skills, with the ability to work effectively with multidisciplinary teams.

Location Flexibility: Candidates residing in the Campinas Metropolitan Region should be prepared to work from the relevant local offices in accordance with the applicable attendance policy.

Benefits

• Comprehensive health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Access to fitness, health, and wellness professionals through Wellhub and TotalPass.
• Profit Sharing and Results (PLR) program.
• Life insurance.
• Continuous learning opportunities through a dedicated learning platform.
• Access to online courses and professional development resources.
• Language learning platform.
• Employee discount programs.
• Online resources dedicated to physical health, mental health, and overall well-being.
• Pregnancy and responsible parenthood support programs.
• Inclusive workplace initiatives, dedicated health and well-being teams, and employee affinity groups.
• Opportunities to work with modern AI technologies and contribute to innovative, AI-focused projects.