AI Automation Engineer
New
J
JobgetherBusiness automation
Based in IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5–6 years of professional experience; at least 2 years of experience working in Revenue Operations (RevOps), Go-to-Market (GTM) operations, or business systems engineering.
- Required Skills
- DockerPostgreSQLPythonSQLSalesforceRESTful APIsHubSpot
Requirements
- Have 5–6 years of professional experience in software engineering, data engineering, automation engineering, systems integration, or a related technical field.
- Have at least 2 years of experience in RevOps, GTM operations, or business systems engineering.
- Demonstrate strong Python programming skills, including automation scripting and data processing.
- Have experience designing, developing, and maintaining REST API integrations across platforms.
- Have hands-on production experience building and managing n8n workflows.
- Have practical experience developing AI-powered applications and tools using OpenAI or Claude APIs.
- Have strong SQL and database management skills, with experience in PostgreSQL, MySQL, BigQuery, or similar technologies.
- Be familiar with Salesforce and HubSpot data models, integrations, and business workflows.
- Know development and deployment tools and practices, including Git, Docker, environment management, and application deployment.
- Understand data synchronization, transformation, and integration architecture across business applications.
- Be able to manage technical projects independently from requirements gathering and solution design through production deployment.
Responsibilities
- Design, develop, and maintain integrations between Salesforce, HubSpot, and internal business systems using REST APIs.
- Build, configure, and manage n8n workflows for data synchronization, enrichment, lead routing, and other business processes.
- Develop and maintain Python scripts for data processing, workflow automation, and system integrations.
- Design and implement internal tools and applications using AI technologies and Claude or OpenAI APIs.
- Develop and maintain database-backed applications, dashboards, and reporting tools.
- Create data transformation and synchronization processes across multiple platforms.
- Manage technical projects from requirements gathering and solution design through development, deployment, and continuous improvement.
- Work with business stakeholders and internal teams to translate operational challenges into technical solutions.
- Monitor integrations and workflows, troubleshoot errors, and improve performance, reliability, and scalability.
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