Instituto de Pesquisas Eldorado

Android Engineer

• Analyze, investigate, and debug software issues;
• Lead technical analyses and code implementations/fixes related to product issues and features, working directly with client requirements;
• Maintain and prioritize the list of issues to be fixed in the product and track/work on their resolution;
• Understand the main product features and user experiences and how they should behave;
• Provide technical support to managers, test leads, and other product stakeholders who require technical guidance to continue their activities.

Technical Lead – Automotive Android

Machine Learning Engineer

• Lead and support all Machine Learning activities and data curation.
• Develop and integrate autonomous agents based on LLMs for complex tasks.
• Implement RAG pipelines (indexing, semantic search, integration with vector databases).
• Design scalable architectures for orchestrating multiple agents (LangChain, LangGraph).
• Fine-tune and optimize LLMs for specific contexts.
• Ensure security, governance, and compliance in AI solutions (LGPD, AI Act).
• Define metrics and continuously validate response quality (accuracy, relevance, consistency).
• Monitor performance and apply cost and latency reduction techniques (quantization, distillation).

Machine Learning Developer

Full-stack Engineer

• Development of new features for web systems (frontend and backend);
• Development of automated unit and integration tests for web systems;
• Development of web solutions using cloud AI technologies (Google Cloud Platform);
• Performing tasks using agile methodologies (Scrum/Kanban);
• Collaborating with the team on code reviews, defining interfaces, and proposing solutions for users/clients.

Technical Lead – Automotive Android

Machine Learning Developer

Fullstack Development Intern