AI Automation & Workflow Engineer

seamlessassist; Bogotá ciudad; A distancia; COP 55.657.000 - 60.295.000; Jornada completa

Descripción de la vacante

seamlessassist is seeking an AI Automation & Workflow Engineer to design and deploy AI-powered automation systems. You will write code in Python/JavaScript, connect APIs, and build AI agents that operate in production environments.

The role requires 3+ years of hands-on experience in software/automation/AI, strong REST API skills, and fluency with AI APIs. Remote work with global clients is supported.

Formación

• 3+ years of hands-on experience in software development, automation engineering, or AI systems.
• Proficient in Python and/or JavaScript — writes and debugs code independently.
• 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.
• 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.
• Available during client business hours — time zone overlap required.

Responsabilidades

• 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.
• Write scripts (Python or JavaScript) when no-code tools can't do the job.
• Deploy and monitor systems so they keep running without constant attention.
• Build AI agents using OpenAI API, Claude API, 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 or memory layers when the agent needs to remember.
• 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.
• Write clear SOPs and technical guides; train client teams to use and maintain built solutions.
• Ensure nothing is a black box — every system has documentation.

Conocimientos

Python

JavaScript

LLM APIs

REST APIs

Automation platforms

English proficiency

AI fluency

Client hours

Educación

Computer Science degree

Herramientas

n8n

Zapier

Make (Integromat)

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

Sector AI Engineering, Automation, Systems Integration, Technical Operations

Level Senior, 3+ years of hands‑on technical experience

Education Computer Science degree required (or equivalent technical degree)

Coding Required — Python and/or JavaScript minimum

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

Rate $12–13/hr USD, max TBD

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

Hours Client's business hours — time zone overlap required

Location Remote, Global

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
• Write scripts (Python or JavaScript) when no-code tools can't do the job
• 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
• Proficient in Python and/or JavaScript — writes and debugs code independently
• 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
• Available during client business hours — time zone overlap required

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)
• Languages: Python, JavaScript (Node.js)
• APIs & integration: REST APIs, webhooks, OAuth, Postman
• Vector / memory: Pinecone, Weaviate, Chroma, or similar
• CRM / ops tools: GoHighLevel, HubSpot, Airtable — at API level
• Dev tools: GitHub, VS Code, Cursor, GitHub Copilot
• Cloud: AWS Lambda, Google Cloud Functions, or similar
• Communication: Slack, Zoom, Google Workspace