Engineer

• You will be responsible for supporting the team by performing data preparation/validation, model/metric selection, MLOps (CI/CD, monitoring, retraining), security (LGPD - Brazilian data protection law), bias/failure mitigation, and production troubleshooting.
• The professional will be responsible for creating and evolving robust solutions in Java, participating in integrations with Firebase, app stores, and BFF (Backend for Frontend) architectures.
• Agent Architecture (ADK): Design, develop, and deploy complex multi-agent systems using Google ADK. Apply engineering rigor (testing, versioning) to ensure robust flows and A2A (agent-to-agent) orchestration.
• LLM Orchestration (LangChain/RAG): Develop and optimize RAG (Retrieval-Augmented Generation) pipelines, connecting models to corporate data (BigQuery). Use LangChain to orchestrate complex chains and integrate tools/APIs.
• Deployment (GCP): Responsible for deploying and managing the lifecycle of agents on GCP. Use Vertex AI Agent Engine, configure Vertex AI Search (for RAG), and ensure scalability (potentially via GKE).
• Ownership (End-to-End): Take ownership from PoC (Proof of Concept) to production. Collaborate with Business/Product teams, translate requirements, and implement evaluation metrics (performance, accuracy, cost).

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