Mid Level AI Engineer PL - Java

Jobgether; Brasil; Presencial; BRL 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Meal allowances

Childcare assistance

Parental leave

Wellness program access

Profit sharing (PLR)

Resumo da oferta

Jobgether, acting on behalf of a partner company, seeks a Mid Level AI Engineer PL - Java in Brazil. You will help transform AI capabilities into practical, business-focused solutions, building a Java/Spring engine to support AI-powered documentation via Retrieval-Augmented Generation (RAG).

The role blends backend development with AI, LLMs, agents, prompts, and retrieval systems, with end-to-end ownership and collaboration across teams, plus learning opportunities and a strong focus on quality,

Qualificações

• Mid-level software or AI engineering experience with backend focus.
• Strong Java development experience; Spring preferred.
• Practical understanding of Large Language Models and production usage.
• Familiarity with Retrieval-Augmented Generation concepts and retrieval-based AI solutions.
• Ability to design prompts for AI models and multi-step tasks.
• Experience with AI agents, skills, and multi-step task execution.
• Knowledge of MCP, token management, AI context, Harness Engineering, SDD practices.
• Ability to select and apply AI models per project.

Responsabilidades

• Design and develop a robust Java/Spring engine for AI-powered documentation and other intelligent features.
• Implement automations and AI agents for multi-step tasks.
• Build and integrate RAG capabilities for contextual AI applications.
• Create clear AI model specifications and ensure quality, security, and production controls.
• Contribute to end-to-end AI lifecycle from design to deployment.
• Develop prompts and integrate AI models, skills, and technologies.
• Apply AI architecture concepts to deliver reliable AI-powered apps.
• Collaborate with cross-functional teams to integrate AI capabilities.

Conhecimentos

Java development

Spring framework

AI & LLMs

RAG

Prompt engineering

AI agents

Multi-step automation

AI architecture

Cross-functional collaboration

Problem solving

Innovation mindset

Collaboration

Location flexibility Campinas region

Formação académica

Bachelor-level degree in CS/Software

Ferramentas

Spring

Descrição da oferta de emprego

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.