13 days ago
Bogotá, ColombiaSenior

Responsibilities

  • Lead prompt engineering and context-management strategies for conversational agents.
  • Integrate, deploy, and optimize modern language models.
  • Build and monitor data pipelines for conversational interaction analysis and continuous response-quality improvement.
  • Manage the full conversational-agent lifecycle from requirements gathering through delivery of a functional product.
  • Query and use large databases to provide agent knowledge and maintain metric consistency.
  • Use monitoring tools, LLM observability pipelines, and ontology design to support agent performance.

Requirements

  • Experience with generative AI, RAG architectures, and frameworks such as LangChain or LlamaIndex.
  • Knowledge of relational and mass-scale databases such as BigQuery and MySQL, as well as vector and graph databases.
  • Experience with cloud services and Google ADK for deploying scalable solutions.
  • Knowledge of orchestration tools such as n8n or Airflow and modern development environments.
  • Experience with conversational-interaction monitoring tools, LLM observability pipelines, and ontology design.

Benefits

  • Hybrid work arrangement.
  • Worksite options in Buenos Aires or Bogotá.

Tech Stack

Apache AirflowGoogle BigQueryMySQL

Categories

Mercado Libre

About Mercado Libre

10,000+ employees

Mercado Libre builds an e-commerce marketplace and fintech infrastructure for consumers and merchants across Latin America. It monetizes through marketplace transaction fees, payment processing (Mercado Pago), logistics and fulfillment (Mercado Envíos), advertising, and credit products. Founded in 1999 and headquartered in Buenos Aires, it operates in 18 countries and is publicly traded on Nasdaq under the ticker MELI.

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