AI Automation Engineer

JoVE
•Remote

About The Position

JoVE is a video platform for scientific research and education, serving millions of scientists, educators, and students worldwide. Its institutional clients include more than 1,000 universities, colleges, and biopharma companies. The company operates offices in the USA, UK, Australia, and India and serves clients in more than 60 countries. JoVE is seeking a hands-on AI Automation Engineer to build and manage integrations, automations, and internal tools that connect Salesforce, HubSpot, and internal business systems. The engineer will own the cross-platform engineering layer and ensure seamless data flow, transformation, and synchronization across systems. The role combines Python programming, API integration, workflow automation, database management, and practical AI engineering to turn business requirements into scalable technical solutions.

Requirements

  • 5–6 years of experience in software, data, automation, or integration engineering.
  • At least 2 years of experience in RevOps, GTM, or business systems.
  • 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, including 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.

Benefits

  • Competitive compensation package.
  • Fully remote work.
  • Opportunity to make a direct impact in accelerating science research and education.
  • Opportunity to work with global teams in an environment that promotes innovation and collaboration.
  • Promotion-from-within culture with a clear path to career advancement.
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