Key skills
AzureGoogle Cloud PlatformPythonSparkSQLAIGenerative AIGenAIRAGMLOpsMLflowLangGraphDatabricksGCPGoogle Cloud
About this role
Role Overview
- Design the multi-agent architecture, ensuring efficient orchestration among specialized agents throughout the customer journey;
- Create and implement specialized AI agents, defining roles, tools and rules for each stage of the e‑commerce experience;
- Develop and optimize prompts, policies and guardrails to ensure consistent, safe behavior aligned with brand guidelines;
- Define and operate evaluation metrics, create tests, and monitor performance, latency, cost and response quality;
- Ensure security, privacy and compliance (LGPD — Brazil's General Data Protection Law), preventing data leaks and protecting against prompt-injection attacks;
- Produce technical documentation and engineering standards, including agent contracts, prompt templates and operational guidelines;
- Assist in the evaluation and procurement of third-party tools focused on Generative AI.
Requirements
- Experience with Azure, Databricks, Data Factory and GCP;
- Strong background in Software Engineering;
- Experience with GenAI, LLMs, MLOps, MLMMs, LLMOps, AgentOps and MLflow;
- Experience with RAG (Retrieval-Augmented Generation);
- Knowledge of SQL, Python and Spark;
- Experience with LangGraph.
Tech Stack
- Azure
- Google Cloud Platform
- Python
- Spark
- SQL