Mid Level AI Engineer PL - Java

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.