Remote AI Automation Engineer - Build Production Workflows

Blacksmith Agency LLC; South Africa; A distancia; ZAR 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

Blacksmith Agency is building an AI automation layer into every part of how we work. As an AI Automation Engineer at Blacksmith, you own and ship our internal automation roadmap. This builder role focuses on production systems, not model training.

You will collaborate with engineering and delivery leadership to turn documented automation roadmaps into shipped, working systems. Experience with LLMs and building tangible implementations is expected.

Formación

• 2+ years building production software with Python or Node.js.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen or similar agent frameworks.
• Proven API integration work with OpenAI or Anthropic (function calling, tool use, streaming).
• Strong understanding of REST APIs, webhooks and basic cloud deployment.
• English sufficient for async written work with a US-based team.

Responsabilidades

• Build agentic workflows using LangChain, LangGraph or equivalent frameworks.
• Integrate with Anthropic and OpenAI APIs including tool use and function calling.
• Create internal tools that reduce manual hours across our design and development production process.
• Develop automation pipelines connecting WordPress, Figma, Google Workspace and our internal CMS.
• Handle MCP server integrations as part of our AI stack.

Conocimientos

Python/Node.js

LangChain/LangGraph

API integration

REST APIs/webhooks

English communication

Herramientas

LangChain

LangGraph

CrewAI

AutoGen

OpenAI API

Descripción del empleo

Blacksmith Agency is building an AI automation layer into every part of how we work. As an AI Automation Engineer at Blacksmith, you own and ship our internal automation roadmap. This builder role focuses on production systems, not model training.

You will collaborate with engineering and delivery leadership to turn documented automation roadmaps into shipped, working systems. Experience with LLMs and building tangible implementations is expected.