Bilingual Agentic AI Engineer — Autonomous Agents

Zendarox; Argentina; Presencial; ARS 2.000.000 - 3.500.000; Jornada completa

Descripción de la vacante

Zendarox is seeking an Agentic AI Engineer to design, build, and deploy autonomous AI agents capable of reasoning, planning, tool use, and multi-step task execution. This client-facing role requires native-level fluency in English and Spanish, and the ability to communicate technical concepts clearly with stakeholders in both languages.

You will integrate LLMs with APIs, create RAG pipelines, memory systems, and ensure reliable production deployments while collaborating with clients in English

Formación

• Native-level proficiency in English and Spanish.
• Experience with AI agent frameworks and multi-agent systems.
• Strong understanding of RAG, embeddings, vector databases, and semantic search.
• Experience integrating LLM APIs (OpenAI, Anthropic, Gemini) and REST services.

Responsabilidades

• Design and develop autonomous and semi-autonomous AI agents.
• Build agentic workflows and multi-agent systems.
• Integrate LLMs with APIs, databases, search tools, and external platforms.
• Develop RAG pipelines, memory systems, and context-management solutions.
• Implement function calling, tool use, structured outputs, and workflow orchestration.
• Build evaluation, monitoring, guardrail, and human-in-the-loop systems.
• Improve agent reliability, reasoning, planning, and task execution.
• Deploy scalable AI solutions into production environments.
• Work directly with client stakeholders to understand requirements in English and Spanish.

Conocimientos

Bilingual English/Spanish

LangGraph

LangChain

RAG

LLM APIs

REST APIs

Herramientas

OpenAI API

Anthropic API

Gemini API

Descripción del empleo

Zendarox is seeking an Agentic AI Engineer to design, build, and deploy autonomous AI agents capable of reasoning, planning, tool use, and multi-step task execution. This client-facing role requires native-level fluency in English and Spanish, and the ability to communicate technical concepts clearly with stakeholders in both languages.

You will integrate LLMs with APIs, create RAG pipelines, memory systems, and ensure reliable production deployments while collaborating with clients in English