AI Automation & Workflow Engineer

Seamless Assist


Job Location:

Chisinau - Moldova

Hourly Salary: $ 13 - 13
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

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 $1213/hr USD max TBD

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

Hours Clients 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 cant 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 ()

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

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 produc...