Python AI Agent Systems Engineer (Remote)

Bold Business; Xico; A distancia; MXN 1.376.000 - 2.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Equipment provided

Descripción de la vacante

Bold Business is seeking an Automation Engineer to build and run AI agent systems that actually ship. You’ll own backend automation, tool integration, and the messaging between agents, CRM, ATS, and ERP.

You’ll collaborate with a Lead Architect and with Sales and Recruiting teams to ensure integrations work in real user scenarios. You will implement Python-based agents, harness production LLM APIs, and ensure robust logging, retries, and observability.

Formación

• 3–4+ years of backend, automation, or AI that shipped in production.
• Experience with production-grade LLM APIs and tool calls.
• Python code that is easy to maintain, with tests and CI.
• REST and webhooks with idempotency, retries, timeouts.
• SQL (PostgreSQL) with joins, indexes.
• Ability to read logs and diagnose root causes.

Responsabilidades

• Build Python agents that operate as a system, not just clever prompts.
• Wire agents to real platforms via APIs and webhooks with clean data flows.
• Collaborate with CRM/ATS/ERP teams to ensure APIs and events work for automation.
• Debug production issues and trace failures to tool calls or prompts.
• Log decisions, tool calls, and costs; alert on critical issues.
• Engage with users to observe usage and iterate quickly.

Conocimientos

Backend development

Automation/AI in production

Python

REST APIs

Webhooks

PostgreSQL

LLM APIs

Logging/Observability

Educación

Bachelor's degree in CS or related

Herramientas

OpenAI API

Anthropic API

LangChain

Descripción del empleo

Bold Business is seeking an Automation Engineer to build and run AI agent systems that actually ship. You’ll own backend automation, tool integration, and the messaging between agents, CRM, ATS, and ERP.

You’ll collaborate with a Lead Architect and with Sales and Recruiting teams to ensure integrations work in real user scenarios. You will implement Python-based agents, harness production LLM APIs, and ensure robust logging, retries, and observability.