
Engenheiro de Inteligência Artificial – Agentes Conversacionais, A2A
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in Brazil.
• Design, develop, and refine the logic for AI agents capable of conducting complex interactions, autonomously solving problems, and collaborating with one another.
• Create responsive, contextual chatbots, co-pilots, and humanized virtual assistants.
• Design A2A multi-agent architectures for communication, task delegation, and collaborative problem-solving.
• Develop Prompt Engineering flows and RAG pipelines using proprietary knowledge bases.
• Integrate Google models and tools, including Vertex AI and Gemini.
• Empower agents to consume external APIs, query databases, and execute actions across different systems.
• Establish conversational quality metrics and continuously iterate on model intelligence.
• Monitor the health, inference performance, and scalability of agents in production, ensuring high availability and efficiency of the architecture.
• Bachelor's degree and specialization in the relevant field.
• Exceptional proficiency in Python, focusing on object-oriented and asynchronous development.
• Extensive experience in creating and maintaining robust APIs using FastAPI, Flask, or Django.
• Advanced practical experience with LangChain, LangGraph, and Langflow.
• Hands-on experience with Google AI APIs, particularly Gemini and Vertex AI.
• Solid understanding of Agentic AI, ReAct, Plan-and-Solve, and A2A flows.
• Experience in implementing and optimizing vector databases, such as Qdrant, Pinecone, Milvus, Weaviate, or pgvector.
• Practical experience in observability, log management, and metrics in production using Grafana.
• Familiarity with orchestrating environments and containers via Rancher.
• Preferred: knowledge of Ragas, TruLens, or LangSmith; Model Context Protocol (MCP); persistent memory and context management; optimization of latency and token consumption.
• No specific benefits mentioned in the job listing.
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