Remote AI Automation Engineer - Integrations & AI Tools

JoVE; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

JoVE is seeking a hands-on AI Automation Engineer to build integrations, automations, and internal tools that connect Salesforce, HubSpot, and internal systems. You will own the cross-platform engineering layer, ensuring seamless data flow, transformation, and synchronization across systems.

The ideal candidate combines strong Python, API integration, workflow automation, and AI engineering experience to deliver scalable technical solutions.

Qualifications

• 5–6 years of experience in software, data, automation, or integration engineering.
• Minimum 2 years of RevOps, GTM, or business systems experience.
• Strong Python programming and REST API integration skills.
• Hands-on production experience with n8n automation workflows.
• Experience building applications using OpenAI or Claude APIs.
• Strong SQL and database knowledge (PostgreSQL, MySQL, or BigQuery).
• Familiarity with Salesforce and HubSpot data models.
• Knowledge of Git, Docker, environment management, and deployment.
• Ability to independently manage projects from requirements to production.

Responsibilities

• Develop integrations between Salesforce, HubSpot, and internal systems using REST APIs.
• Build n8n workflows for data synchronization, enrichment, lead routing, and automation.
• Write Python scripts for data processing and automation.
• Develop AI-powered tools using Claude and OpenAI APIs.
• Build database-backed dashboards and reporting tools.
• Own projects from requirements gathering through deployment and improvement.

Skills

Python programming

REST API integration

n8n workflows

SQL databases

OpenAI/Claude APIs

Salesforce data models

HubSpot data models

Git

Docker

Deployment / environment mgmt

Tools

PostgreSQL

MySQL

BigQuery

Job description

JoVE is seeking a hands-on AI Automation Engineer to build integrations, automations, and internal tools that connect Salesforce, HubSpot, and internal systems. You will own the cross-platform engineering layer, ensuring seamless data flow, transformation, and synchronization across systems.

The ideal candidate combines strong Python, API integration, workflow automation, and AI engineering experience to deliver scalable technical solutions.