AI Automation & Workflow Engineer

Seamless Assist; Bogotá ciudad; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Seamless Assist is seeking an AI Automation & Workflow Engineer to design and build AI-powered automation systems and agents. You will connect CRMs, databases, and tools via APIs, deploy agents, and ensure reliable production performance.

Strong AI fluency and real-world LLM API work are essential. You will work across automation platforms, memory systems, and memory layers to tailor AI into client workflows, with emphasis on reliability, documentation, and client handover.

Formación

• Computer Science degree or equivalent technical degree — required
• 3+ years of hands-on experience in software development, automation engineering, or AI systems
• Hands-on experience with REST APIs, webhooks, and authentication (OAuth, API keys)
• Experience building with LLM APIs (OpenAI, Anthropic/Claude, or similar) in real projects — not just prompting tools
• Hands-on experience with at least one automation platform: n8n, Zapier, or Make
• Strong written English — technical documentation reviewed at screening
• Advanced AI fluency — AI is embedded in how they design, build, and ship systems

Responsabilidades

• Build end-to-end automation workflows using Zapier, Make, or n8n and connect platforms via REST APIs and webhooks
• Develop AI agents using OpenAI API, Claude API, or similar LLM APIs, with memory, decision trees, and tool use
• Integrate AI into real business workflows such as lead qualification, content generation, support, and reporting
• Ensure systems run in production with monitoring, error handling, and ongoing maintenance
• Write clear SOPs and training materials, and hand over to client teams with documentation

Conocimientos

REST APIs

AI APIs

Workflow automation

API integration

Documentation

Educación

CS degree

Herramientas

n8n

Zapier

Make

GitHub

VS Code

Postman

GoHighLevel

HubSpot

Airtable

Pinecone

Weaviate

Chroma

AWS

GCP

Descripción del empleo

AI Automation & Workflow Engineer

Also placing as:AI Builder · AI Specialist · Integration Specialist · Workflow Engineer - Data Analyst

A senior technical hire who builds AI-powered systems from scratch — writing code, connecting APIs,

deploying agents, and making sure everything actually works in production.

Field Details

Level Senior · 3+ years of hands-on technical experience

AI Fluency Advanced — builds with AI APIs, not just uses AI tools

Type Full-time · 40 hrs/week or Part time - 20 hrs/week

What They Do

Build Automation Systems

Design and build end-to-end automation workflows using Zapier, Make, or n8n

Connect platforms via REST APIs and webhooks — not just drag-and-drop integrations

Deploy and monitor systems so they keep running without constant attention

AI & Agent Development

Build AI agents using OpenAI API, Claude API (Anthropic), or similar LLM APIs

Design agent logic — memory, decision trees, tool use, and context management

Integrate AI into real business workflows: lead qualification, content generation, support, reporting

Use RAG (retrieval-augmented generation) or memory layers when the agent needs to remember

things

Systems & Integrations

Connect CRMs, databases, communication tools, and custom platforms via API

Work with tools like Airtable, HubSpot, GoHighLevel, and similar platforms at the API level

Handle data flow, error handling, and edge cases — not just the happy path

Manage version control via GitHub and keep code clean and documented

Documentation & Handover

Write clear SOPs and technical guides that non-technical people can actually follow

Train client teams to use and maintain what was built

Make sure nothing is a black box — every system has documentation

AI Tools in Daily Work

LLM APIs: OpenAI (GPT-4o), Anthropic (Claude), Mistral, Gemini — for building agents and AI

features

Automation: n8n, Zapier, Make — with custom code steps and API connections

Vector databases: Pinecone, Weaviate, Chroma — for RAG and memory systems

Dev tools: GitHub, VS Code, Postman — for building, testing, and version control

Cloud: AWS Lambda, Google Cloud Functions, or similar — for deploying lightweight agents

AI coding assistants: GitHub Copilot, Cursor, Claude for coding — to build faster

Data: Airtable, Google Sheets API, SQL basics — for managing structured data

Monitoring: simple logging, error alerts, uptime checks to keep systems healthy

Requirements

Computer Science degree or equivalent technical degree — required

3+ years of hands-on experience in software development, automation engineering, or AI systems

Hands-on experience with REST APIs, webhooks, and authentication (OAuth, API keys)

Experience building with LLM APIs (OpenAI, Anthropic/Claude, or similar) in real projects — not

just prompting tools

Hands-on experience with at least one automation platform: n8n, Zapier, or Make

Strong written English — technical documentation reviewed at screening

Advanced AI fluency — AI is embedded in how they design, build, and ship systems

Preferred

Experience with GoHighLevel (GHL) at the API or workflow level

RAG experience — retrieval-augmented generation, vector databases, or persistent memory

GitHub portfolio or demo showing an AI agent or automation built and running in production

Experience in a client-facing, agency, or embedded role

Background in fitness tech, SaaS, or service business operations — understands real business

context

Familiarity with cloud infrastructure (AWS, GCP, or Azure) for deploying lightweight agents

Tools & Platforms

LLM APIs: OpenAI (GPT-4o), Anthropic Claude API, Gemini, Mistral

Automation: n8n, Zapier, Make (Integromat)

APIs & integration: REST APIs, webhooks, OAuth, Postman

Vector / memory: Pinecone, Weaviate, Chroma, or similar

CRM / ops tools: GoHighLevel, HubSpot, Airtable — at API level

Cloud: AWS Lambda, Google Cloud Functions, or similar

Communication: Slack, Zoom, Google Workspace