Python Automation Engineer – Ai Integrations

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

Automation Engineer – AI Agent Systems

Remote, Latin America | 3–4+ years of actually shipping things

Reports to: Senior Operational Leader

About Bold Business

We build multi-agent AI systems that do real Sales and Recruiting work, not demo-day theater. If it cannot survive a Tuesday with real users, it does not count.

The job

You will build and run agent systems: routing, workers, tools, memory, retries, and the part where we find out it broke at 11pm. You work with a Lead Architect and with Sales and Recruiting humans who will tell you if it is useful. You will not disappear into a cave and emerge with a framework rewrite.

You will also sit with the developers building our CRM, ATS, and ERP. You represent this team in those rooms so those systems can talk to our agents, and our agents can talk back. You are the integration. You are not the CRM owner.

Ask questions. Show the work. If something is on fire, say so the same day. We have already lived the other version.

What you will actually do

• Build Python agents that behave as a system, not as 14 clever prompts in a trench coat
• Wire them to real platforms: APIs, webhooks, data in, data out, no duplicate rows because the webhook got excited
• Work with the teams building our CRM, ATS, and ERP. Show up in their design conversations. Do not leave until the APIs and events actually work for automation
• Debug production like an adult. Trace the bad run to the tool call, the payload, or the prompt
• Log decisions, tool calls, and cost. Alert us before finance does
• Sit with users, watch them use it, then change it

Must have (we will test these, not just admire them on a resume)

Hard

• 3–4+ years of backend, automation, or AI that ran in production. Walk us through something you shipped. “I contributed” is not a walkthrough.
• Production LLM APIs (OpenAI, Anthropic, Groq, or similar). Tool calls, rate limits, token burn, and what a failure looks like when it is not a blog post
• Python someone else can maintain. Tests and CI you actually run
• REST and webhooks: idempotency, retries, timeouts. Pop quiz: it fires twice. What happens.
• SQL past SELECT *. Joins, indexes. Postgres is a plus
• You can read logs and find the root cause. You assume failure is the default and you designed for it

Soft

• Clear English, written and spoken, with a US team. Your application is the first test. Use it.
• You surface problems the same day, not in the postmortem
• You will start without a 40-page spec
• You care if Sales or Recruiting actually used the thing, not just that it compiled
• You can sit with another engineering team, explain what we need in plain English, and not leave until the API and events actually work for automation. Salesforce / HubSpot / Greenhouse / ERP experience is a plus, not a must. Surviving someone else’s system is the must.

Nice to have (we can teach this)

LangChain, LangGraph, LlamaIndex, or whichever library is fashionable this quarter. Vector DBs. AWS/GCP, Docker. Datadog. Prompt evals. If you have them, great. If you don't, and you have shipped systems, we will live.

Why Join Bold Business?

• Build on your Python and integration skills while learning AI systems alongside our senior team.
• Build solutions used directly by Sales and Recruiting teams.
• Work with real APIs, databases, automation, and AI integrations.
• Work remotely with a US-based team with clear collaboration hours and competitive compensation.

Details

Remote, Latin America. Overlap live US hours or this does not work.

Pay is competitive and tied to what you have shipped, not how many libraries you can name. Equipment provided. Health insurance included.

Shipped systems. Clear communication. Curiosity. That is the whole interview.